Download or read book Segmentation Based Reversible Image Compression written by Krishna Chaitanya Ratakonda and published by . This book was released on 1996 with total page 82 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Computer Analysis of Images and Patterns written by Gerald Sommer and published by Springer Science & Business Media. This book was released on 1997-08-27 with total page 760 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 7th International Conference on Computer Analysis of Images and Patterns, CAIP '97, held in Kiel, Germany, in September 1997. The volume presents 92 revised papers selected during a double-blind reviewing process from a total of 150 high-quality submissions. The papers are organized in topical sections on pattern analysis, object recognition and tracking, invariants, applications, shape, texture analysis, motion calibration, low-level processing, structure from motion, stereo and correspondence, segmentation and grouping, mathematical morphology, pose estimation, and face analysis.
Download or read book Lossy Image Compression written by K K Shukla and published by Springer Science & Business Media. This book was released on 2011-08-28 with total page 98 pages. Available in PDF, EPUB and Kindle. Book excerpt: Image compression is concerned with minimization of the number of information carrying units used to represent an image. Lossy compression techniques incur some loss of information which is usually imperceptible. In return for accepting this distortion, we obtain much higher compression ratios than is possible with lossless compression. Salient features of this book include: four new image compression algorithms and implementation of these algorithms; detailed discussion of fuzzy geometry measures and their application in image compression algorithms; new domain decomposition based algorithms using image quality measures and study of various quality measures for gray scale image compression; compression algorithms for different parallel architectures and evaluation of time complexity for encoding on all architectures; parallel implementation of image compression algorithms on a cluster in Parallel Virtual Machine (PVM) environment.
Download or read book Segmentation based Compression of Monochrome and Color Still Images written by Iftekhar Hussain and published by . This book was released on 1995 with total page 314 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Segmentation based Image Compression and Region Splitting written by Kim Alexander Bettesworth Phillips and published by . This book was released on 1995 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Segmentation based Image Compression written by Oh-Jin Kwon and published by . This book was released on 1992 with total page 12 pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract: "A segmentation-based image coding technique is described here. Both uniform and textured region extraction algorithms are used for segmentation. Textured regions are reconstructed using 2-D noncausal Gaussian-Markov random field models. Uniform regions are reconstructed using polynomial expansions. An arithmetic coder is used for coding the boundaries of regions. Reasonable quality images are obtained at a compression factor of 82:1."
Download or read book Proceedings International Conference on Image Processing written by IEEE Signal Processing Society and published by Institute of Electrical & Electronics Engineers(IEEE). This book was released on 1996 with total page 1128 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Image Segmentation Using Human Visual System Properties with Applications in Image Compression written by Heidi A. Peterson and published by . This book was released on 1990 with total page 229 pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract: "In order to represent a digital image, a very large number of bits is required. For example, a 512 x 512 pixel, 256 gray level image requires over two million bits. This large number of bits is a substantial drawback when it is neceaary to store or transmit a digital image. Image compression, often referred to as image coding, attempts to reduce the number of bits used to represent an image, while keeping the degradation in the decoded image to a minimum. One approach to image compression is segmentation-based image compression. The image to be compressed is segmented, i.e., the pixels in the image are divided into mutually exclusive spatial regions based on some criteria.
Download or read book Genomic Signal Processing and Statistics written by Edward R. Dougherty and published by Hindawi Publishing Corporation. This book was released on 2005 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent advances in genomic studies have stimulated synergetic research and development in many cross-disciplinary areas. Processing the vast genomic data, especially the recent large-scale microarray gene expression data, to reveal the complex biological functionality, represents enormous challenges to signal processing and statistics. This perspective naturally leads to a new field, genomic signal processing (GSP), which studies the processing of genomic signals by integrating the theory of signal processing and statistics. Written by an international, interdisciplinary team of authors, this invaluable edited volume is accessible to students just entering this emergent field, and to researchers, both in academia and in industry, in the fields of molecular biology, engineering, statistics, and signal processing. The book provides tutorial-level overviews and addresses the specific needs of genomic signal processing students and researchers as a reference book. The book aims to address current genomic challenges by exploiting potential synergies between genomics, signal processing, and statistics, with special emphasis on signal processing and statistical tools for structural and functional understanding of genomic data. The first part of this book provides a brief history of genomic research and a background introduction from both biological and signal-processing/statistical perspectives, so that readers can easily follow the material presented in the rest of the book. In what follows, overviews of state-of-the-art techniques are provided. We start with a chapter on sequence analysis, and follow with chapters on feature selection, classification, and clustering of microarray data. We then discuss the modeling, analysis, and simulation of biological regulatory networks, especially gene regulatory networks based on Boolean and Bayesian approaches. Visualization and compression of gene data, and supercomputer implementation of genomic signal processing systems are also treated. Finally, we discuss systems biology and medical applications of genomic research as well as the future trends in genomic signal processing and statistics research.
Download or read book Compound Image Segmentation and Compression for Secure Transmission written by D. Maheswari Maheshlenin and published by LAP Lambert Academic Publishing. This book was released on 2012-07 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: Increase in the use of images in the continuous expansion of multimedia applications has increased the demand for efficient techniques that can store and transmit visual information. This demand has made image compression a vital factor. This work proposes compression techniques for compound images. For this purpose, the primary goal was set as "to develop compression schemes that can compress color compound images quickly, which can reduce the compression rate, while maintaining a good level of visual quality in a secure fashion." Here two types of segmentation techniques (i) layer-based segmentation and (ii) block-based segmentation are analyzed and two hybrid models are proposed. The first hybrid model combines histogram-threshold block-based technique with wavelets and the second model combines layer and block-based techniques for efficient compression. Security to image content is provided in three ways, namely, Block Transformation Coding (BTC), XML transformation and conversion for text block and Encryption of image blocks. Experiments are conducted with the traditional compressors which prove that the proposed models give better results.
Download or read book Research Developments in Computer Vision and Image Processing Methodologies and Applications written by Srivastava, Rajeev and published by IGI Global. This book was released on 2013-09-30 with total page 451 pages. Available in PDF, EPUB and Kindle. Book excerpt: Similar to the way in which computer vision and computer graphics act as the dual fields that connect image processing in modern computer science, the field of image processing can be considered a crucial middle road between the vision and graphics fields. Research Developments in Computer Vision and Image Processing: Methodologies and Applications brings together various research methodologies and trends in emerging areas of application of computer vision and image processing. This book is useful for students, researchers, scientists, and engineers interested in the research developments of this rapidly growing field.
Download or read book Segmentation based and Region adaptive Lossless Image Compression Underpinned by a Steller field Image Model written by Christian Dieter Grunler and published by . This book was released on 2010 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Image Understanding Workshop written by Thomas M. Strat and published by . This book was released on 1997 with total page 808 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Fundamentals of Digital Image Processing written by S. Annadurai and published by Pearson Education India. This book was released on 2007 with total page 444 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Efficient Chain code Encoding for Segmentation based Image Compression written by Abdulrazzak Abdulkarim and published by . This book was released on 1996 with total page 130 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Image Segmentation for Object Based Image Compression written by Junaid Ahmed and published by . This book was released on 2000 with total page 98 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Renormalization Method for Examining Digital Image Processing Problems based on Renormalization Group Ideas written by Joel Bijoy and published by GRIN Verlag. This book was released on 2024-05-23 with total page 13 pages. Available in PDF, EPUB and Kindle. Book excerpt: Seminar paper from the year 2024 in the subject Computer Science - Miscellaneous, grade: NA, , course: BCA, language: English, abstract: This paper presents a method for Examining Digital Image Processing Problems based on Renormalization Group Ideas, Markov Random Field Modeling of Images, and Metropolis-Type Monte Carlo algorithm, pro. The method can be used effectively in combination and can be used in rehabilitation, drug control tissue, coding, movement analysis, etc. It provides integration to perform hierarchical, multi-scale, coarseto-fine analysis of functional images such as The technique was developed and used for the restoration of distorted images. Inverse algorithms are global optimization algorithms used for other optimization problems. It iteratively creates multilevel cascades of recovered images at different resolution or scale levels. Image processing is hard work, especially when it comes to images with complex patterns such as textures or fractals. Traditional image processing techniques may not be sufficient to extract features from such images. However, the Renormalization Group (RG) method provides a hierarchical and systematic way to analyze images at different scales and extract their associated features. The purpose of this document is to provide an overview of the conversion suite for image processing and its applications.
