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 Image Segmentation and Compression Using Hidden Markov Models written by Jia Li and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 150 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the current age of information technology, the issues of distributing and utilizing images efficiently and effectively are of substantial concern. Solutions to many of the problems arising from these issues are provided by techniques of image processing, among which segmentation and compression are topics of this book. Image segmentation is a process for dividing an image into its constituent parts. For block-based segmentation using statistical classification, an image is divided into blocks and a feature vector is formed for each block by grouping statistics of its pixel intensities. Conventional block-based segmentation algorithms classify each block separately, assuming independence of feature vectors. Image Segmentation and Compression Using Hidden Markov Models presents a new algorithm that models the statistical dependence among image blocks by two dimensional hidden Markov models (HMMs). Formulas for estimating the model according to the maximum likelihood criterion are derived from the EM algorithm. To segment an image, optimal classes are searched jointly for all the blocks by the maximum a posteriori (MAP) rule. The 2-D HMM is extended to multiresolution so that more context information is exploited in classification and fast progressive segmentation schemes can be formed naturally. The second issue addressed in the book is the design of joint compression and classification systems using the 2-D HMM and vector quantization. A classifier designed with the side goal of good compression often outperforms one aimed solely at classification because overfitting to training data is suppressed by vector quantization. Image Segmentation and Compression Using Hidden Markov Models is an essential reference source for researchers and engineers working in statistical signal processing or image processing, especially those who are interested in hidden Markov models. It is also of value to those working on statistical modeling.
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 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 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 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 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 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 Document and Image Compression written by Mauro Barni and published by CRC Press. This book was released on 2018-10-08 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt: Although it's true that image compression research is a mature field, continued improvements in computing power and image representation tools keep the field spry. Faster processors enable previously intractable compression algorithms and schemes, and certainly the demand for highly portable high-quality images will not abate. Document and Image Compression highlights the current state of the field along with the most probable and promising future research directions for image coding. Organized into three broad sections, the book examines the currently available techniques, future directions, and techniques for specific classes of images. It begins with an introduction to multiresolution image representation, advanced coding and modeling techniques, and the basics of perceptual image coding. This leads to discussions of the JPEG 2000 and JPEG-LS standards, lossless coding, and fractal image compression. New directions are highlighted that involve image coding and representation paradigms beyond the wavelet-based framework, the use of redundant dictionaries, the distributed source coding paradigm, and novel data-hiding techniques. The book concludes with techniques developed for classes of images where the general-purpose algorithms fail, such as for binary images and shapes, compound documents, remote sensing images, medical images, and VLSI layout image data. Contributed by international experts, Document and Image Compression gathers the latest and most important developments in image coding into a single, convenient, and authoritative source.
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 Advances in Computational Techniques for Biomedical Image Analysis written by Deepika Koundal and published by Academic Press. This book was released on 2020-05-28 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advances in Computational Techniques for Biomedical Image Analysis: Methods and Applications focuses on post-acquisition challenges such as image enhancement, detection of edges and objects, analysis of shape, quantification of texture and sharpness, and pattern analysis. It discusses the archiving and transfer of images, presents a selection of techniques for the enhancement of contrast and edges, for noise reduction and for edge-preserving smoothing. It examines various feature detection and segmentation techniques, together with methods for computing a registration or normalization transformation. Advances in Computational Techniques for Biomedical Image Analysis: Method and Applications is ideal for researchers and post graduate students developing systems and tools for health-care systems. - Covers various challenges and common research issues related to biomedical image analysis - Describes advanced computational approaches for biomedical image analysis - Shows how algorithms are applied to a broad range of application areas, including Chest X-ray, breast CAD, lung and chest, microscopy and pathology, etc. - Explores a range of computational algorithms and techniques, such as neural networks, fuzzy sets, and evolutionary optimization - Explores cloud based medical imaging together with medical imaging security and forensics
Download or read book Image Segmentation Algorithms Incorporating Perceptual Quality Factors for Region based Image Compression written by Yongqin Zeng and published by . This book was released on 1999 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
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 Mixed Raster Content written by George Pavlidis and published by Springer. This book was released on 2016-11-01 with total page 379 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the main concepts in handling digital images of mixed content, traditionally referenced as mixed raster content (MRC), in two main parts. The first includes introductory chapters covering the scientific and technical background aspects, whereas the second presents a set of research and development approaches to tackle key issues in MRC segmentation, compression and transmission. The book starts with a review of color theory and the mechanism of color vision in humans. In turn, the second chapter reviews data coding and compression methods so as to set the background and demonstrate the complexity involved in dealing with MRC. Chapter three addresses the segmentation of images through an extensive literature review, which highlights the various approaches used to tackle MRC segmentation. The second part of the book focuses on the segmentation of color images for optimized compression, including multi-layered decomposition and representation of MRC and the processes that can be employed to optimize the coding rates of those different layers. Rounding out the coverage, the final chapter examines the segmentation of color images for optimized transmission.
Download or read book Digital Image Compression by Using Edge Based Segmentation written by Chun-Hui Huang and published by . This book was released on 1996 with total page 186 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Innovative Algorithms and Techniques in Automation Industrial Electronics and Telecommunications written by Tarek Sobh and published by Springer Science & Business Media. This book was released on 2007-09-04 with total page 529 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes a set of rigorously reviewed world-class manuscripts addressing and detailing state-of-the-art research projects in the areas of Industrial Electronics, Technology, Automation, Telecommunications and Networking. The book includes selected papers from the conference proceedings of the International Conference on Industrial Electronics, Technology, Automation (IETA 2006) and International Conference on Telecommunications and Networking (TeNe 06).
