image processing research paper 93


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Cellular Automata and non-static image processing for embodied robot systems on a massively parallel processor array
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ABSTRACT. A massively parallel processor array which combines image sensing and processing is utilized for the implementation of a simple cellular automata (CA). This CA is essential part of an image processing task supporting object detection in real-time for an

A variational model in image processing with focal points
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ABSTRACT We propose a model for segmentation problems involving an energy concentrated on the vertices of an unknown polyhedral set, where the contours of the images to be recovered have preferred directions and focal points. We prove that such an energy is

Image Processing based Classifier for Detection and Diagnosis of Induction Motor Stator Fault
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  2009 Induction motors are one of the most widely used electrical machines. These motors play a very important role in the present industrial life. Therefore, the need to insure a continuous and safety operation for this motors, involves preventive maintenance programs with fault

Image processing tricks in OpenGL
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• Recursive filters are directional• Causes phase shift of data• Not a problem for time series (eg audio), but very obvious with images• Can combine multiple recursive filters to construct zero-phase shift filter• Run filter in positive direction (left to right) first, and then in negative

Extraction of fine blood vessels from an ultrasound image by adaptive local image processing
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This paper discusses some useful image processing techniques for an ultrasound image using adaptive morphological operations. They are defined in such a way that the used structuring element is a function of local image to respond its characteristics. The defined

Laser linewidth measurement based on image processing and non-air gap FP etalon
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ABSTRACT Laser linewidth measurement has been realized in the paper through image processing and on non-air gap FP. Firstly, The expression of linewidth measurement founded on non-air gap FP has been obtained from the interference theory of multi-beam

Image processing in optical guidance for autonomous landing of lunar probe
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Because of the communication delay between earth and moon, the GNC technology of lunar probe is becoming more important than ever. Current navigation technology is not able to provide precise motion estimation for probe landing control system Computer vision offers

QVision, a development framework for real-time computer vision and image processingresearch
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ABSTRACT In this paper we introduce QVision, a software framework designed to reduce programming effort when making research prototypes in the areas of computer vision and image processing. It offers an object oriented layer architecture on top of performance

Complete surface distinguishing and overlapping technology for three-dimensional image processing of micro devices
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ABSTRACT A new method that is able to characterize multiple surfaces simultaneously in one micro stereo device is introduced. Any spatial structures are represented by a three- dimensional matrix in this method regardless of their geometry complexity. In the matrix

A study of optical system and image processing in Vickers hardness photoelectric detection system
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ABSTRACT Although the New Vickers Hardness Tester has integrated with today s high and new technologies, and has been digitalized, automated, intellectualized, and gradually developed into a video-based photoelectric detector, one of the key technologies still be

Identify Defects in Gears Using Digital Image Processing
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ABSTRACT Gear defects are a major reason for poor quality and of embarrassment for manufacturers. 0Inspection processes done on these industries are mostly manual and time consuming. To reduce error on identifying gear defects requires more automotive and

An advanced image fusion algorithm based on wavelet transform- Incorporation with PCA and morphological processing
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 Image fusion is a tool that serves to combine multisource imagery by using advanced image processing techniques.  The mother wavelet must simply satisfy a small set of conditions and is typically selected based on the domain of the signal or image processing problem.

Dataflow design of a co-processor architecture for image processing
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ABSTRACT This paper presents the comparison of two design methodologies applied to the design of a co-processor dedicated to image processing. The first methodology is the classical development based on specifying the architecture by directly writing a HDL

Construction of pilling grade evaluation system based on image processing
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Construcia sistemului de evaluare a efectului piling, pe baza proces „rii imaginilor Œn lucrare este prezentat un sistem de evaluare a efectului piling pe baza proces „rii imaginilor digitale. Imaginea materialului textil cu efect piling, iluminat „de o surs „LCD, este preluat „

Characterization on pore size of honeycomb-patterned micro-porous PET fibers using image processing techniques
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This paper presents a method to characterize the pore structure of the fibre surface for the honeycomb-patterned PET fibers, by using a scanning electron microscopy (SEM) and image processing techniques. They consist of linear channel pores (LCP) and ellipse

Investigation of Electrochemically Etched GaAs (001) Surface with the Help of Image Processing
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ABSTRACT Surface morphology of GaAs (001) surface after electrochemical layer removal with the help of image processing was investigated. The surface pattern of GaAs shown fractal behaviour under non-selective etching conditions. The morphological surface study was

Classifiers and Machine Learning Techniques for Image Processing and Computer Vision
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ABSTRACT We propose the use of classifiers and machine learning techniques to extract useful information from data sets (eg, images) to solve important problems in Image Processing and Computer Vision. We are interested in: two and multiclass image

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Accelerating image reconstruction for low-dose X-ray CT and MRI
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Iterative method for emission tomography

image reconstruction research papers recent 2014



Fast Iteratively Reweighted Least Squares for Lp Regularized Image Deconvolution and Reconstruction
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ABSTRACT Iteratively reweighted least squares (IRLS) is one of the most effective methods to minimize the lp regularized linear inverse problem. Unfortunately, the regularizer is nonsmooth and nonconvex when 0 1. In spite of its properties and mainly due to its

Image reconstruction of mMR PET data using the open source software STIR
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Simultaneous PET and MR acquisitions have now become possible with the new hybrid Biograph Molecular MR (mMR) scanner from Siemens. The purpose of this work is to create a platform for mMR 3D and 4D PET image reconstruction which would be freely

Joint Motion Estimation and Image Reconstruction
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Modern microscopes are able to visualize even the smallest biological processes within cells. One example is intracellular flow where the flow dynamics within a single cell are visualised by a sequence of microscopic images over time. Extracting accurate

Survey on Image Reconstruction Techniques Using Multi-Focus Images
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ABSTRACT: Image reconstruction using multi-focus images is very novel approach used in many applications. The different methods of image reconstruction by using multiple differently focused images on FPGA are described in detail in this paper. The effective

An Algorithm for the Proximity Operator in Hybrid TV-Wavelet Regularization, with Application to MR Image Reconstruction
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Abstract. Total variation (TV) and wavelet L1 norms have often been used as regularization terms in image restoration and reconstruction problems. However, TV regularization can introduce staircase effects and wavelet regularization some ringing artifacts, but hybrid TV

First-pass perfusion CMR with reduced dark-rim artifact and instantaneous image reconstruction using optimized cartesian sampling and apodization
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Background Subendocardial dark-rim artifact (DRA) continues to be a major issue that limits the diagnostic performance of first pass perfusion (FPP) CMR. Non-Cartesian approaches such as radial or spiral acquisition have been proposed to minimize DRAs. Among these
Statistical model is essential for constraint-free visual image reconstruction, as it may overfit training data and have poor generalization. In this study, we investigate the sparsity of the distributed patterns of visual representation and introduce a suitable sparse model for the

Algorithm/hardware co-optimized sar image reconstruction with 3d-stacked logic in memory
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Abstract:Real-time system level implementations of complex Synthetic Aperture Radar (SAR) image reconstruction algorithms have always been challenging due to their data intensive characteristics. In this paper, we propose a basis vector transform based novel

Effect of iterative reconstruction on image quality in evaluating patients with coronary calcifications or stents during coronary computed tomography angiography
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ABSTRACT Objective: To determine the effect of Iterative Reconstruction in Image Space(IRIS) on image quality by comparing reconstructions of both medium and sharp kernels when evaluating coronary calcifications or stents during coronary computed

Geometric correction method for 3d in-line X-ray phase contrast image reconstruction
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Abstract Background: Mechanical system with imperfect or misalignment of X-ray phase contrast imaging (XPCI) components causes projection data misplaced, and thus result in the reconstructed slice images of computed tomography (CT) blurred or with edge artifacts

Blended finite element method and its convergence for three-dimensional image reconstruction using $ L^ 2$-gradient flow
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Abstract. The gradient-flow-based explicit and semi-implicit finite element methods proposed in our earlier papers have been applied to solve various variational models for image reconstruction in cryo-electron microscopy and X-ray computed tomography, respectively.

Study Comparing Image Quality in Computed Tomography Using Adaptive Statistical IterativeReconstruction and New Adaptive Statistical Iterative Reconstruction V.
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Purpose: The purpose of this study was to assess the image quality of a novel advanced iterative reconstruction (IR) method called as adaptive statistical IR V(ASIR-V) by comparing the image noise, contrast-tonoise ratio (CNR), and spatial resolution from

Accelerating image reconstruction for low-dose X-ray CT and MRI
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Iterative method for emission tomography(Kuhl, 1963) FBP for PET(Chesler, 1971) Weighted least squares for 3D SPECT(Goitein, NIM, 1972) Richardson/Lucy iteration for image restoration(1972, 1974) Poisson likelihood (emission)(Rockmore and Macovski,

A L1-Minimization for Image Reconstruction from Compressed Sensing
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Abstract: We proposed a simple and efficient iteratively reweighted algorithm to improve the recovery performance for image reconstruction from compressive sensing (CS). The numerical experiential results demonstrate that the new proposed method outperforms in

Robust iterative image reconstruction for breast CT by use of projection differentiation
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ABSTRACT Design of image reconstruction algorithms for breast CT faces challenging conditions: projection data are often truncated particularly near the chest wall, and the noise level in the acquired projections is high when constraining the scan to have equivalent

Fast MR image reconstruction with orthogonal wavelet regularization via shift-variant shrinkage
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ABSTRACT Algorithms with Lipschitz bounds such as ISTA and FISTA are useful for solving optimization problems with sparsitypromoting regularizers. However, they can be slow in applications that involve shift-variant system matrices. One example of such an application

Single Image Super Resolution Reconstruction using an Unsupervised Learning Framework
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Abstract: Recently image super resolution (SR) has become an important research area to generate high resolution (HR) image from given low resolution (LR) image. The main aim of super resolution is to improve visual quality of available low resolution image. So the

PET Image Reconstruction Based on a Constrained Filter
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Abstract: The paper aims to propose an algorithm for PET (positron emission tomography) image reconstruction. Different from the algorithms designed to satisfy a single performance index in most cases, our algorithm inherently involves for two objects. Due to that the

Image Reconstruction Optimization and Quantification for Image-Guided Luminescent Tomography A Thesis Submitted to the Faculty
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Page 1. Image Reconstruction Optimization and Quantification for Image-Guided Luminescent Tomography A Thesis Submitted to the Faculty in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Physics and Astronomy by Robert William Holt

Bayesian 3D X-ray computed tomography image reconstruction with a scaled Gaussian mixture prior model
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Abstract. In order to improve quality of 3D X-ray tomography reconstruction for Non Destructive Testing (NDT), we investigate in this paper hierarchical Bayesian methods. In NDT, useful prior information on the volume like the limited number of materials or the

Hybrid Iterative Reconstruction Algorithm Improves Image Quality and Helps to Decrease Radiation Dose in 256-Slides Craniocervical CTA
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Abstract Purpose: The purpose of this study is to prospectively compare the image quality and radiation dose in two different 256-slice MDCT using Filter Back Projection and iDose4

Phase Retrieval and Image Reconstruction with Echoed Amplitude in Terahertz Band
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Abstract:Image reconstruction with high resolution based on incoherent detection and phase retrieval algorithm was proposed in Terahertz band. Proof-of-principle experiments were performed to demonstrate the effectiveness of the novel approach, which has

Fast splitting-based ordered-subsets X-ray CT image reconstruction,
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Abstract:Using non-smooth regularization in X-ray computed tomography (CT) image reconstruction has become more popular these days due to the recent resurgence of the classic augmented Lagrangian (AL) methods in fields such as totalvariation (TV)

A Hybrid Image Reconstruction for Medical Magnetic Induction Tomography: an experimental evaluation
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Abstract: Magnetic induction tomography is a tomographic technique with potential medical applications. However, the realization of this technique remains a challenging topic both in hardware and in image reconstruction. This paper presents a hybrid image reconstruction

Masamune: a tool for automatic dynamic PET data processing, image reconstruction and integrated PET/MRI data analysis
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We describe a novel semi-automated pipeline which integrates advanced data analysis tools for MR and PET with advanced PET reconstruction correction methods (partial volume effect correction [PVC], motion correction [MC], attenuation correction [AC]) in a user-

Sparse Image Reconstruction and Artifact Correction of Multi-Dimensional Spectroscopic Imaging Data
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Over the past 30 years, magnetic resonance imaging (MRI) has quickly grown into one of the most valuable tools used by physicians to non-invasively diagnose disease in the human body. It is capable of imaging up to three spatial dimensions and a temporal dimension

Compressed-sensing-based fluorescence molecular tomographic image reconstructionwith grouped sources
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Abstract Background: Although the quality of reconstructed results can be improved with the increment of the number of measurements, the scale of the matrices involved in the reconstruction of fluorescence molecular tomography (FMT) will become larger, which

High-Resolution Computed Tomography Image Reconstruction in Sinogram Space
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Abstract:An important part of any computed tomography (CT) system is the reconstruction method, which transforms the measured data into images. Reconstruction methods for CT can be either analytical or iterative. The analytical methods can be exact, by exact

A Novel Image Reconstruction Algorithm based on Population Entropy and Adaptive Differential Evolution for Electrical Capacitance Tomography.
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Abstract To solve the" soft field" effect and the ill-posed problem in electrical capacitance tomography technology, a novel image reconstruction algorithm based on population entropy and adaptive differential evolution for Electrical Capacitance Tomography is
Linear scan computed tomography (CT) is a promising imaging configuration with high scanning efficiency while the data set is under-sampled and angularly limited for which high quality image reconstruction is challenging. In this work, an edge guided total variation

Image reconstruction via non-isotropic diffusion in Dubins/Reed–Shepp-like control systems.
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Abstract:We compare the image inpainting results of two models of geometry of vision obtained through control theoretic considerations (the semi-discrete versions of the Citti- Petitot-Sarti and Mumford Elastica models). The main feature described by these models
Ultrasonic Systems are useful for inspecting ceramic materials because ultrasonic waves are easily propagated in such materials. Conventional ultrasonic testing (UT) methods cannot easily identify internal defects. This study built a visualization system for detecting

Multi-Object Segmentation for Assisted Image reConstruction
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Abstract: MOSAIC is a tool for jigsaw puzzle solving. It is designed to assist cultural heritage operators in reconstructing broken pictorial artifacts from their fragments. These undergo feature extraction and feature based indexing, so that any fragment can be the key to

ATTENUATION CORRECTION IN SPECT DURING IMAGE RECONSTRUCTION USING INVERSE MONTE CARLO METHOD A SIMULATION STUDY
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Abstract. The main goal of SPECT imaging is to determine the distribution of injected activity inside patient's body. However, due to photon attenuation, a quantitative study is encountered with remarkable error. Using Monte Carlo method, it is possible to find the
In magnetic resonance imaging, image resolution is limited by several factors such as hardware constraints or physical considerations. In many cases, the acquired images have to be magnified to match a specific resolution. This paper presents a new super-resolution

Improved total variation minimization method for few-view computed tomography image reconstruction
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Abstract Background: Due to the harmful radiation dose effects for patients, minimizing the x- ray exposure risk has been an area of active research in medical computed tomography (CT) imaging. In CT, reducing the number of projection views is an effective means for

A photoacoustic image reconstruction method using total variation and nonconvex optimization
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Abstract Background: In photoacoustic imaging (PAI), the reduction of scanning time is a major concern for PAI in practice. A popular strategy is to reconstruct the image from the sparse-view sampling data. However, the insufficient data leads to reconstruction quality
In this paper, reconstruction of the Positron Emission Tomography (PET) images, a CD algorithm was instigated with NN based image segmentation techniques called Neural Network Segmentation based Coordinate Descent–Weighted Least Square (NNCD–WLS)

Parallel Image Reconstruction for New Vacuum Solar Telescope
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ABSTRACT Many advanced ground-based solar telescopes improve the spatial resolution of observation images using an adaptive optics (AO) system. As any AO correction remains only partial, it is necessary to use post-processing image reconstruction techniques such

Optimization of Sensor Structural Parameters and Image Reconstruction for Electrical Capacitance Tomography
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Abstract Sensitivity field distribution of the sensor in ECT system is affected by the distribution of the mixture, The" soft field" property of sensitive field bring great difficulty in image reconstruction, on the basis of analyzing capacitance tomography sensitive

ASPL-APBT Algorithm for Block Compressed Sensing Image Reconstruction.
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Abstract:Based on the block compressed sensing (BCS) framework, a new and non- orthogonal transform named all phase biorthogonal transform (APBT) is introduced to exploit the image sparsity, reduce the encoding complexity and be applicable to the blocked

Low-mAs X-ray CT image reconstruction by adaptive-weighted TV-constrained penalized re-weighted least-squares
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BACKGROUND: The negative effects of X-ray exposure, such as inducing genetic and cancerous diseases, has arisen more attentions. OBJECTIVE: This paper aims to investigate a penalized re-weighted least-square (PRWLS) strategy for low-mAs X-ray computed

Optimized momentum steps for accelerating X-ray CT ordered subsets image reconstruction,
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Abstract:Recently, we accelerated ordered subsets (OS) meth-ods for low-dose X-ray CT image reconstruction using momentum techniques, particularly focusing on Nesterov's momentum method. This paper develops an optimized momentum method that is faster

Image Reconstruction with Prior Information in Electrical Resistance Tomography
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Abstract Electrical resistance tomography (ERT) has high temporal resolution characteristics therefore it is used as an alternative technique to visualize two-phase flows. The image reconstruction in ERT is highly non-linear and ill-posed hence it suffers from poor spatial

Fast Image Reconstruction Research Based on H8 Filtering for Electrical Resistance Tomography
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Abstract In order to improve the image reconstructed quality affected by soft filed feature and the speed of dynamic on-line data processing in Electrical Resistance Tomography, we propose a fast image reconstruction algorithm based on H8 filtering theory. Mainly, on the

Time-of-flight PET image reconstruction using origin ensembles
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Abstract The origin ensemble (OE) algorithm is a novel statistical method for minimum- meansquare-error (MMSE) reconstruction of emission tomography data. This method allows to perform reconstruction entirely in the image domain, ie, without the use of forward and
For parallel beam geometry the Fourier reconstruction works via the Fourier slice theorem (or central slice theorem, projection slice theorem). For fan beam situation, Fourier slice can be extended to a generalized Fourier slice theorem (GFST) for fan-beam image

Super-Resolution image Reconstruction Based on Iteration and Wavelet Transform
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Abstract: In this paper, we provide a super-resolution image reconstruction algorithm based on wavelet transform. Wavelet transform can separate high frequency and low frequency information of image. The more high frequency information can be obtained by using

Study on Reconstruction Techniques of Landscape Image
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Abstract. The depth map is a basic diagram of the intrinsic; each pixel value represents the scene graph the elevation position of the object point. In this paper,target classification elevation map. Figure elevation are visible depth image, the depth of the

A platform for Image Reconstruction in X-ray Imaging: Medical Applications using CBCT and DTS algorithms
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Abstract This paper presents the architecture of a software platform implemented in C++, for the purpose of testing and evaluation of reconstruction algorithms in X-ray imaging. The fundamental elements of the platform are classes, tightened together in a logical hierarchy

Polychromatic Sparse Image Reconstruction and Mass Attenuation Spectrum Estimation via B-Spline Basis Function Expansion
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Abstract. We develop a sparse image reconstruction method for polychromatic computed tomography (CT) measurements under the blind scenario where the material of the inspected object and the incident energy spectrum are unknown. To obtain a

Performance Evaluation of Super Resolution Image Reconstruction using IWT and BPT with Different Colour Transforms
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Abstract:Super resolution (SR) images play an important role in Image processing applications. Spatial resolution is the key parameter in many applications of image processing. Super resolution images can be used to improve the spatial resolution. In this

Compressed Sensing Image Reconstruction Based on Discrete Shearlet Transform.
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Abstract: The two-dimensional wavelet transform for magnetic resonance imaging (MRI) images does not sparsely represent curve singularity characteristics, which can only capture the limited direction information. Pointing at this problem, this paper presents a new

FastSPECT II Image Reconstruction Suite (version 4.04)
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Abstract This document provides brief descriptions of the programs that have been developed to perform maximum likelihood expectation maximization (MLEM) image

Super Resolution Image Reconstruction using Geometric Registration
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Abstract:Super-resolution algorithms are facing a number of issues, in that image registration is one of the major challenges. Here, we need to generate an improved resolution image that is reconstructed based on several geometrically warped, linearly

A NEW IMAGE RECONSTRUCTION TECHNIQUE WITH AID OF IPSO (IMPROVED PARTICLE SWARM OPTIMIZATION) AND DWT (DISCRETE WAVELET
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ABSTRACT The term 'Image Reconstruction'refers to the retrieval of the original image (or a general signal) from its given awful version, such as an image that is corrupted by noise, blurred by atmospheric turbulence (as in certain astronomic observations), or that has

Synthetic Aperture Ultrasound Image Reconstruction
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ABSTRACT In this paper real data was used to test the utility of synthetic aperture (SA) ultrasound imaging to overcome the limitation of conventional ultrasound image which include decreasing the frame rate and single transmit focusing. The images are

Research of Super-Resolution Image Reconstruction Methods
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A fast method for TVL1-MRI image reconstruction in compressive sensing
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Abstract In this paper, we use a small positive parameter to change the TV-L1-MRI image reconstruction model into a strictly convex perturbed and differentiable model. Bregman iteration is used to solve the modified MR image reconstruction model. The fixed-point

Methods for MRI RF Pulse Design and Image Reconstruction
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Magnetic resonance imaging (MRI) is a revolutionary technique that helps clinical diagnosis by non-invasively and non-radioactively imaging human tissue. Briefly, MRI works by imaging signals from hydrogen in the body. The body is placed in a strong magnetic field,

Studying the Effect of Bit-Plane in Super-Resolution Reconstruction of Text Image
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Abstract: Single-frame super-resolution image reconstruction is one of the issues highly considered and studied in recent research works. In the techniques of super-resolution, besides increasing the size of image, increasing the observable details is considered, too.

3D image reconstruction from serial sections
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In this chapter, we give some background and a summary of image registration. We are especially focused on the geometry in the large deformation framework. This framework is the foundation for diffeomorphic registration and motivates the model and formulation for

Image Reconstruction Using Rational Ball Interpolant and Genetic Algorithm
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Abstract In this paper we employed rational Ball interpolant for the reconstruction of different images. The unknown parameters involved are optimized with the help of genetic algorithm. The error tables of three chosen images are displayed. Keywords: Boundary Extraction,

Reconstruction of High Resolution Computed Tomography Image from Sinogram Space Using Adaptive Row Projection.
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Abstract We deal with the reconstruction of the high-resolution (HR) computed tomography (CT) image from the CT projection data (Sinogram). Spatial resolution is one of the important parameters of CT images. Spatial resolution is a measure of how close to each other two

Effects of Model-Based Iterative Reconstruction on Image Quality for Low-Dose Computed Tomographic Angiography of the Thoracic Aorta in a Swine Model.
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Purpose: The aim of the study was to assess the image quality of multi–detector-row computed tomography (CT) angiographic images of the thoracic aorta reconstructed with filtered back projection (FBP), adaptive statistical iterative reconstruction, and model-

Synthetic Magnetic Resonance Image Reconstruction Based on Parametric Weighted Images for Contrast Enhancement at High Field MRI
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Although the fundamental idea of image synthesis is not a new concept for low magnetic field strengths it has not, to the author's knowledge, been shown at higher field strengths such as 9.4 T. It has been shown here that with the aid of quantitative maps we were able

Image Reconstruction based on Block-based Compressive Sensing
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Abstract The data of interest are assumed to be represented as N-dimensional real vectors, and these vectors are compressible in some linear basis B, implying that the signals can be reconstructed accurately using only a small number of basis function coefficients

PNe in the shopping bag of Gaia: improved statistics, distances to the microarcsec, SEDs, variability and image reconstruction
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Gaia, the next cornerstone astrometric ESA mission, has been successfully launched on November 19th 2013, just a few weeks after the conclusion of the APN6 conference. The satellite is now on the way to its final orbit located about one million and a half kilometers

A Reconstruction of Original Image from Destroyed Image through Haar Wavelet Transform
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Abstract:This paper deals with the analysis of image compression using Haar wavelet transform. The paper covers some background of Haar wavelet analysis to decompose image, thresholding in wavelet for image compression and how wavelet is used for image

Radiation Dose and Image Noise Evaluation in Coronary Computed Tomography Angiography (CCTA) Using an Iterative Reconstruction Algorithm
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Methods: A total cohort of 47 patients underwent CCTA examination on a 64-slice multi- detector CT. They were divided into four groups according to the time when the examination was performed (before or after the installation of iDose) and the acquisition protocol

Image Compression Based on Spatial Redundancy Removal and Reconstruction usingImage Inpainting
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Abstract:In any digital communication system, the efficient transmission of an image over a channel involves source coding which represents the image in the compression form at the transmitter side. An information-carrying signal may be compressed by removing

Sparse Representation-Based Image Superresolution Reconstruction
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ABSTRACT. Magnetic Resonance Imaging (MRI) data is acquired with a finite resolution limited by several factors including SNR, hardware, image time, and so on. This work presents a framework of super-resolution MRI via sparse reconstruction to solve the data

Wavefront reconstruction for image restoration based on generalized ridge estimation
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ABSTRACT In order to enhance the performance of adaptive optics image restoration, a novel wavefront reconstruction algorithm was presented that was based on generalized ridge estimation. In the view of adaptive optics image post-processed restoration, real time

A LabVIEW based user-friendly nano-CT image alignment and 3D reconstruction platform
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Abstract: X-ray nanometer computed tomography (nano-CT) offers applications and opportunities in many scientific researches and industrial areas. Here we present a user- friendly and fast LabVIEW based package running, after acquisition of the raw projection

Unsupervised Three-dimensional Reconstruction of Small Rocks from a Single Two-dimensional Image
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Abstract Surfaces covered with pebbles and small rocks can often be found in nature or in human-shaped environments. Generating an accurate three-dimensional model of these kind of surfaces from a reference image can be challenging, especially if one wants to be

Image Reconstruction Using Wavelet Transform with Extended Fractional Fourier Transform
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Abstract Image reconstruction forms the basis of many applications in the fields of medicine, astronomy etc. Historically an image is reconstructed using several methods of which Fourier and wavelet transform methods formed the roots of present day technologies. The

PT-path reconstruction via unraveling of peculiar zoning pattern in atoll shaped garnets viaimage assisted analysis: an example from the Santa Lucia del Mela
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Abstract Garnet micaschists nearby Santa Lucia del Mela-Peloritani Mountains (North- eastern Sicily, Italy), were studied by integrating information obtained from petrographic and imageassisted analyses of mineral phase compositions by using X-ray maps and

AUTOMATED IMAGE-BASED RECONSTRUCTION OF BUILDING INTERIORS–A CASE STUDY
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ABSTRACT In 3D reconstruction of indoor environments, automated methods offer possibilities for eg brokering, planning and decoration businesses. The application potential of these automated methods is, however, tied to the accuracy of these methods. In this

Sparse Graph Signal Reconstruction and Image Processing on Circulant Graphs
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ABSTRACT In this work, we present extensions of the framework of sampling and reconstructing signals with a finite rate of innovation (FRI) to the graph domain, by tackling the problem of K-sparse graph signal reconstruction on perturbed circulant graphs,

3D Object Reconstruction Using Single Image
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Abstract Recentely, many algorithms were implemeneted; in order to get better and accurate 3D modeling. In this paper, five proposed methods were presented for 3D object reconstruction from a single 2D color image. The basic idea of the five proposed

Advances in Image Pre-Processing to Improve Automated 3d Reconstruction
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ABSTRACT Tools and algorithms for automated image processing and 3D reconstruction purposes have become more and more available, giving the possibility to process any dataset of unoriented and markerless images. Typically, dense 3D point clouds (or texture

Blind Single-Image Super Resolution Reconstruction with Defocus Blur.
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Abstract: A blind single-image super resolution method is proposed to enhance the spatial resolution of the image with defocus blur. Firstly, according to the low resolution imaging model, a framework of blind singleimage super resolution reconstruction is presented.

EXTRACTION AND 3D RECONSTRUCTION OF RETINAL BLOOD VESSELS FROM SINGLE FUNDUS IMAGE
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Abstract-3D modelling has gained lot of importance in the field of medical Image analysis. 3D models give the depth information of the object which is very useful in visualization. The analysis of the blood vessels in the retinal image is helpful for identifying the different

Skeletal approach to mandible reconstruction represented as an image
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ABSTRACT Mandible or facial bone reconstruction is a serious challenge in craniomaxillofacial surgery. Considering the complex shape and structure of the mandible, careful presurgical planning or availability of objective methods to analyse the patient

of the Chin Following Reconstruction of Mandible with Autogenous Iliac Bone Grafts and Non Pre-Shaped Titanium Reconstruction Plates: A Comparative Pilot
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Abstract To restore acceptable facial profile after avulsion or ablation, the missing portions of the mandible must be adequately reconstructed. The purpose of this study was to compare the perception of individuals on mandibular chin dimensions and computer analyzed

Image Super-resolution Reconstruction Based on Image Examples and Multi-scale Self-similar Learning
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Abstract Small image patches in a natural image tend to redundantly recur multi-times inside the image, both within the same scale, as well as across different scales. The redundancy makes the following possible that low-resolution/high-resolution patch correspondences

IMAGE RECONSTRUCTION AFTER A SUCCESSION OF 2: 1 DOWNSAMPLING–UPSAMPLING
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ABSTRACT Video streaming had a long way to walk from its first days in the 90's until nowadays. In the year 2012 people were watching over 4 billion video clips every day on YouTube, according to Reuters. The transmission of video information towards unstable

Acceleration of biomedical image processing and reconstruction with FPGAs
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Field Programmable Gate Arrays (FPGAs) are microchips containing a large number of logic blocks that can be freely configured and connected to calculate any digital logic. Increasing chip sizes and better programming tools have made it possible to push the boundaries of

Automatic Detection of Situations for Intervention Using 3D Image Reconstruction and Template Matching
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Abstract. Due to the public transportation companies' need to ensure the safety and security of the passengers, the recent years have witnessed a substantial increase in the number of surveillance cameras installed in these stations. Regarding to this increasing number, the

FPGA dedicated hardware architecture of 3D medical image reconstruction: marching cubes algorithm.
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Abstract:-Generally, the implementation of various treatments of medical images, especially the 3D reconstruction, should support a real-time execution of the algorithm on the architecture: It is to meet the constraints of latency and circuit space while minimizing the

HIGH RESOLUTION PET IMAGE RECONSTRUCTION
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First and foremost, I feel indebted to my adviser, Prof. Yao Wang, whose support has been invaluable during my last year in Poly. Only now, preparing to move on to the next stage of my academic life and getting out of the Poly bubble, I am beginning to fully appreciate the

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