Download or read book Image Processing Through Vector Quantization PHD written by Kannan Panchapakesan and published by . This book was released on 2000 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Vector Quantization written by Hüseyin Abut and published by Institute of Electrical & Electronics Engineers(IEEE). This book was released on 1990 with total page 584 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Vector Quantization in Image Processing written by Su Min 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 Compression and Classification Using Vector Quantization written by Karen Louise Oehler and published by . This book was released on 1993 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Vector Quantization and Signal Compression written by Allen Gersho and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 737 pages. Available in PDF, EPUB and Kindle. Book excerpt: Herb Caen, a popular columnist for the San Francisco Chronicle, recently quoted a Voice of America press release as saying that it was reorganizing in order to "eliminate duplication and redundancy. " This quote both states a goal of data compression and illustrates its common need: the removal of duplication (or redundancy) can provide a more efficient representation of data and the quoted phrase is itself a candidate for such surgery. Not only can the number of words in the quote be reduced without losing informa tion, but the statement would actually be enhanced by such compression since it will no longer exemplify the wrong that the policy is supposed to correct. Here compression can streamline the phrase and minimize the em barassment while improving the English style. Compression in general is intended to provide efficient representations of data while preserving the essential information contained in the data. This book is devoted to the theory and practice of signal compression, i. e. , data compression applied to signals such as speech, audio, images, and video signals (excluding other data types such as financial data or general purpose computer data). The emphasis is on the conversion of analog waveforms into efficient digital representations and on the compression of digital information into the fewest possible bits. Both operations should yield the highest possible reconstruction fidelity subject to constraints on the bit rate and implementation complexity.
Download or read book Image Analysis written by Josef Bigün and published by Springer Science & Business Media. This book was released on 2003-06-25 with total page 1196 pages. Available in PDF, EPUB and Kindle. Book excerpt: The excellently received call for papers of the 13th Scandinavian Conference on Image Analysis, June 29-July 2 (SCIA 2003) resulted in the selected articles of this proceedings. Additionally the volume also contains invited contributions from - Ivar Austvoll, Stavanger University College (NO), - Lars B? a? ath, Halmstad University (SE), - Ewert Bengtsson, Uppsala University (SE), - Rasmus Larsen, Technical University of Denmark (DK), - Jussi Parkkinen, University of Joensuu (FI), - Pietro Perona, California Institute of Technology (US) which brings the total number of articles to 152. The theme of the papers are dominated by the categories - Feature extraction - Depth and surface - Medical image processing - Shape analysis - Segmentation and spatial grouping - Coding and representation - Motion analysis - Texture analysis - Color analysis - Indexing and categorization which also represent the topical groupings of this book. The particularly strong response to the feature extraction, depth and surface, and medical image processing themes makes us believe that these areas are c- rently expansive, partly because of the rich set of problems which remain to be addressed.
Download or read book Advances in Imaging and Electron Physics written by and published by Academic Press. This book was released on 1999-09-28 with total page 473 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advances in Imaging & Electron Physics merges two long-running serials--Advances in Electronics & Electron Physics and Advances in Optical & Electron Microscopy. The series features extended articles on the physics of electron devices (especially semiconductor devices), particle optics at high and low energies, microlithography, image science and digital image processing, electromagnetic wave propagation, electron microscopy, and the computing methods used in all these domains.
Download or read book Introduction to Data Compression written by Khalid Sayood and published by Morgan Kaufmann. This book was released on 2017-10-23 with total page 792 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction to Data Compression, Fifth Edition, builds on the success of what is widely considered the best introduction and reference text on the art and science of data compression. Data compression techniques and technology are ever-evolving with new applications in image, speech, text, audio and video. This new edition includes all the latest developments in the field. Khalid Sayood provides an extensive introduction to the theory underlying today's compression techniques, with detailed instruction for their applications using several examples to explain the concepts. Encompassing the entire field of data compression, the book includes lossless and lossy compression, Huffman coding, arithmetic coding, dictionary techniques, context based compression, and scalar and vector quantization. The book provides a comprehensive working knowledge of data compression, giving the reader the tools to develop a complete and concise compression package. - Explains established and emerging standards in- depth, including JPEG 2000, JPEG-LS, MPEG-2, H.264, JBIG 2, ADPCM, LPC, CELP, MELP, iLBC and the new HEVC standard - Includes more coverage of lattices in vector quantization - Contains improved and expanded end-of-chapter problems - Source code is provided via a companion website that gives readers the opportunity to build their own algorithms and choose and implement techniques in their own applications
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 Vector Quantization of Images Based on Spatial Correlation Analysis written by Qiang Guo and published by . This book was released on 1989 with total page 118 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Image Processing Communications Challenges 2 written by Ryszard S. Choras and published by Springer Science & Business Media. This book was released on 2010-10-05 with total page 472 pages. Available in PDF, EPUB and Kindle. Book excerpt: Image Processing and Communications represents an exciting and dynamic part of the information area. This book consists of 52 scientific and technical papers from 14 Nations, after a careful selection performed by many international reviewers. The papers are conveniently grouped into 6 chapters: - Computer Vision and Image Processing - Biometric - Recognition and Classification - Biomedical Image Processing - Applications - Communications. Each chapter focuses on a specific topic, presents results, and points out challenges and future directions.
Download or read book Image Vector Quantization Using Subjective Criteria written by Jinhui Chen and published by . This book was released on 1994 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Exploring Vector Quantization with Vision Transformer for Image Classification Problem written by and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Transformer model is a cutting-edge machine learning model which utilizes the self-attention mechanism that showed significant improvement on performance, first, in the field of Natural Language Processing, then reapplied in computer vision as Vision Transformer (ViT). Vector Quantization is a traditional technique for lossy compression to reduce the data size while attempting to retain most of the significant information. It achieves this by dividing the data into patches and creating the approximation representation using a codebook. This thesis aims to bring well established vector quantization techniques and cutting-edge vision transformer models together and explore the performance, trade-off, and challenges of combining the technology for image classification purposes. The work first explores the vector quantization in two different ways, color space and image space, encoding using the Generalized Lloyd algorithm. The quantized data is fed into ViT model instead of original images. Next, the work examines the various structures of ViT along with training techniques identify how to effectively train the model using quantified image data. Finally, performance is evaluated among base, color quantized, and image quantized data from scratch as well as a pre-trained model. The result shows that quantization in both color space and image space produces comparable performance. This happens when the input image is provided in a decoded format. We also observe that comparable performance is achieved even if the input image size is reduced to one tenth of the original image size. This indicates that the original image contains much more detail than necessary to perform the classification. The result also shows that the quantization of image space, when provided as an encoded image, reduces the performance compared to base case. This happens due to the lack of context, leading to the misclassification of similarly shaped objects. The framework and proces provided in this thesis could be used as a base to further accelerate the exploration of the use of vector quantization in image classification tasks.
Download or read book Algorithms and Architectures for Image Coding Using Vector Quantization written by S. Panchanathan and published by . This book was released on 1989 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Neuro Fuzzy and Fuzzy Neural Applications in Telecommunications written by Peter Stavroulakis and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: For the first time, this highly interdisciplinary book covers the applications of neuro-fuzzy and fuzzy-neural scientific tools in a very wide area within the communications field. It deals with the important and modern areas of telecommunications amenable to such a treatment.
Download or read book Algorithms and Architectures for Image Coding Using Vector Quantization written by S. Panchanathan and published by . This book was released on 1989 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Multidimensional Signal Image and Video Processing and Coding written by John W. Woods and published by Academic Press. This book was released on 2011-06-17 with total page 618 pages. Available in PDF, EPUB and Kindle. Book excerpt: This fully revised and expanded edition gives readers the necessary understanding of image and video processing concepts to contribute to this hot technology's future advances. Important new topics include introductory random processes, image enhancement and analysis, and the new MPEG scalable video coding standard.
