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Splines: A perfect fit for signal and image processing
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inding a general mechanism for switching between the continuous and discrete signal domains is one of the fundamental issues in signal processing . It is a question that arises naturally during the acquisition process where an analog signal or image is to be converted

Image processing in the context of a visual model
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MAGE QUALITY is becoming an increasing concern throughout the field of image processing . The growing awareness is due in part to the availability of sophisticated digital methods which tend to highlight the need for precision. Also there is a developing realization

Level set and fast marching methods in image processing and computer vision
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In recent years, level set methods have been used in a variety of settings for problems in computer vision and image processing . A related numerical methodology, known as fast marching methods , has been recently developed to solve static Hamilton-Jacobi equations

Enhancement of mammographic features by optimal adaptive neighborhood image processing
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X-ray mammography is the only breast cancer detection technique presently available with proven efficacy. Mammographic de-tection of early breast cancer requires optimal radiological or image processing techniques. We present an image processing approachAlthough not designed with image processing specifically in mind, the Staran parallel processor has had a significant impact on that application area. The machine is full programmable, yet when applied to image processing it has demonstrated speeds usually ABSTRACT The author studies a class of VLSI organizations with optical interconnects for fast solutions to several image processing tasks. The organization and operation of these architectures are based on a generic model called OMC, which is used to understand the

Special computer architecture for pattern recognition and image processing -An overview
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It has been recognized for a long time that a conventional sequential processor is inefficient for operations on pictorial data where relatively simple operations need to be performed on a large number of data elements (pixels). Though many parallel processing architectures for ABSTRACT Programmable IC architectures for image processing applications are reviewed. Chip sets that can be used for image and video compression and for traditional image processing systems like computer-vision systems, chip designs that can handle allImage processing puts heavy demands on computational speed and storage space. The PICAP system of Linkoping University has been designed to meet these demands in an interactive image processing environment, utilizing state-of-the-art hardware and software

Flexible architectures for morphological image processing and analysis
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This paper presents an architecture for the efficient and high-speed realization of morphological filters. Since morphological filtering can be described in terms of erosion and dilation, two basic building units performing these functions are required for the realization of

Textural filtering for SAR image processing
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Texture is an important feature which can be used in the interpretation of remotely sensed imagery. This paper presents examples of the application of a new approach to the textural filtering and enhancing of digital images. Satisfactory results are obtained in processing

Human vision models for perceptually optimized image processing a review
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By taking into account the properties and limitations of the human visual system (HVS), images can be more efficiently compressed, colors more accurately reproduced, prints better rendered, to mention a few major advantages. To achieve these goals it is necessary to

Image processing using one-dimensional processor arrays
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Image processing (IP) is an ideal candidate for specialized architectures because of the sheer volume of data, the natural parallelism of IP algorithms, and the high demandfor IP solutions. The continually increasing circuit density of very large scale integration (VLSI)

Faster graph-theoretic image processing via small-world and quadtree topologies
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Numerical methods associated with graph-theoretic image processing algorithms often reduce to the solution of a large linear system. We show here that choosing a topology that yields a small graph diameter can greatly speed up the numerical solution. As a proof of

Comments on enhancement of mammographic features by optimal adaptive neighborhood image processing
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In the paper by Dhawan et al.a promising contrast en-hancement procedure is developed. As a quantitative means of char-acterizing the picture, an entropy measure is introduced. It is the purpose of the present comment to clarify the use of the entropy measure and to argue

The STARAN architecture and its application to image processing and pattern recognition algorithms
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JL Potter- afips, 1899 ban.ai The ST ARAN E is a general purpose parallel computer. However, certain aspects of the STARAN Es architecture, specifically, a single instruction stream-multiple data stream organization, high speed I/O, a flip (permutation) network and a conditional operation

Theoretical Analysis of Winsoring Smoothers and Their Applications to Image Processing
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The Winsorizing smoother (W smoother), which is a center weighted median (CWM) filter giving more weight only to the central value of each window, is studied. This filter can preserve image details while suppressing additive white and/or impulsivetype noise. The The Signal Processing Society is an organization, within the framework of the IEEE, of members with principal professional interest in the technology of transmission, recording, reproduction, processing , and measurement of speech and other signals by digital

How advanced image processing helps for SAR image restoration and analysis
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The past few years have seen important advances in remote sensing imagery. The new sensors have improved resolutions in all dimensions, spatial resolution with reduced pixel sizes, temporal resolution with shorter revisit times and spectral resolution with increased

Nonlinear adaptive image processing in transform domain
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ABSTRACT A family of local adaptive lters for image restoration and enhancement is described. The lters work in a moving window in the domain of an orthogonal transform and, in each position of the window, produce an estimation of the central pixel of the window by



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