image processing research paper-43


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Compounds, Drugs and Mathematical Image Processing
GJ Bauer,  P Maass, H Preckel ,Production Factor , 2010 ,Springer
The development of new drugs is long-winded and expensive. The first step consists in the
search for active pharmaceutical ingredients that are suitable for the treatment of previously
difficult to treat diseases. This problem requires optimized mathematical methods—it is not 

Image enhancement by local information fusion with pre-processing and composed metric
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M Aubailly, MA Vorontsov ,Proceedings of SPIE, , 2008
 Keywords: Imaging, atmospheric turbulence, anisoplanatism, image quality metric, image
processing 1. INTRODUCTION  Soc. Am., 64, 1200-1210 (1974). [8] Lucis ® Image processing
software, http://www.imagecontent.com/lucis/pdf/DHP_algorithm.pdf Proc. of SPIE Vol. 

Numerical issues from inverse problems in image processing: Parameter estimation, and parallel algorithms for a high performance computing environment
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Y Lin ,2010
ABSTRACT Regularization techniques have been widely used in many applications for the
solution of ill-posed inverse problems. Here the methods of Tikhonov and Total Variation
regularization are studied. Applications and algorithms relevant to large scale image 

Chorus detection with combined use of MFCC and chroma features and image processingfilters
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A Eronen ,Proc. of 10th International Conference on , 2007 ,dafx.labri.fr
ABSTRACT A computationally efficient method for detecting a chorus section in popular and
rock music is presented. The method utilizes a distance matrix representation that is
obtained by summing two separate distance matrices calculated using the mel-frequency 

Objective measure of thread characteristics in non closely-woven fabrics by image processing
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J Escofet, M Ralló ,Proceedings of SPIE, 2009
ABSTRACT A digital image processing approach to develop an automatic method for the
objective measure of some thread parameters in a non closely-woven fabric is presented.
The parameters addressed by this method are thickness, periodicity, regularity, area of 

Vehicle Style Recognition Based on Image Processing and Neural Network
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ZW Zhu ,Advances in Computer Science and Information , 2012 ,Springer
A vehicle style recognition method using computer vision, image processing and RBF neural
network is presented in the paper. First, a vehicle side image is acquired by using a high-
speed vidicon. Then a vehicle edge outline image was obtained by a series of image 

Fast multichannel wavelet transforms and wavelet packets for color and hyperspectralimage processing
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 J Astola ,In: Bregovic, R., 2011 ,ticsp.cs.tut.fi
ABSTRACT This paper presents a novel approach to the wavelet analysis of multichannel
signals and images. Orthogonal and unitary multichannel multiparametric wavelet
transforms MPWT and wavelet packets MPWP are proposed for discrete multichannel and 

General adaptive neighborhood image processing
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J Debayle ,Journal of Mathematical Imaging and Vision, 2006 ,Springer
Abstract The so-called General Adaptive Neighborhood Image Processing (GANIP)
approach is presented in a two parts paper dealing respectively with its theoretical and
practical aspects. The Adaptive Neighborhood (AN) paradigm allows the building of new 

Well-posedness for a class of fourth order diffusions for image processing
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P Guidotti ,NoDEA: Nonlinear Differential Equations and , 2011 ,Springer
Abstract A number of image denoising models based on higher order parabolic partial
differential equations (PDEs) have been proposed in an effort to overcome some of the
problems attendant to second order methods such as the famous Perona–Malik model. 

Center for Image Processing Research
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Y Hu ,2010 ,cipr.rpi.edu
ABSTRACT Ef cient image sequence coding exploits both intra-and interframe correlations.
SPIHT is ef cient in intra-frame decorrelation for still images. Based on SPIHT, differential-
SPIHT removes inter-frame redundancy by reusing the signi cance map of a SPIHT coded 

Color in Image and Video Processing
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A Trémeau, S Tominaga ,EURASIP Journal on , 2008 ,jivp.eurasipjournals.com
 Color plays a significant role in many pattern recognition and multimedia systems, where
color-based feature extraction and color segmentation are used to detect and classify objects
in application areas such as biomedical image processing and geomatics. 

SIMPLE IMAGE PROCESSING TECHNIQUES FOR NEAR-REAL TIME INUNDATION MONITORING USING TERRASAR-X IMAGERY
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S Gebhardt ,TerraSAR-X Science Team Meeting, , 2008 ,sss.terrasar-x.dlr.de
1 ABSTRACT X-band SAR data are well suited for deriving inundated surface areas. The
TerraSAR-X sensor with its different scanning modi allows for the derivation of spatial and
temporal high resolved inundation masks. The paper presents preliminary studies on the 

Genetic image network (GIN): Automatically construction of image processing algorithm
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S Shirakawa , of the International Workshop on Advanced , 2007 ,shirastar.com
ABSTRACT A new method for automatic construction of image transformation, Genetic
Image Network (GIN), is proposed in this paper. We previously proposed the system of
ACTIT (Automatic Construction of Tree-structural Image Transformation). ACTIT constructs 

Fuzzy set and directional image processing techniques for impulsive noise reduction employing DSP
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V Ponomaryov, A Rosales-Silva ,Society of Photo- , 2009
ABSTRACT In literature, numerous algorithms in image denoising in case of a noise of
different nature were implemented. One of the principal noises is impulsive one
companioning any transmission process. This paper presents novel approach unificating 

A platform dedicated to knowledge engineering for the development of image processingapplications
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A Renouf, R Clouard ,International Conference on , 2007 ,greyc.ensicaen.fr
Abstract: In this paper, we propose a platform dedicated to the knowledge extraction and
management for image processing applications. The aim of this platform is a knowledge-
based system that generates automatically applications from problem formulations given 

Parallel hyperspectral image processing on distributed multicluster systems
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F Liu, FJ Seinstra ,Journal of Applied Remote Sensing, 2011
Abstract. Computationally efficient processing of hyperspectral image cubes can be greatly
beneficial in many application domains, including environmental modeling, risk/hazard
prevention and response, and defense/security. As individual cluster computers often 





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