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EBookClubs

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Book Vector Quantization and Signal Compression

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.

Book Low rate Image Compression Using Vector Quantization

Download or read book Low rate Image Compression Using Vector Quantization written by Simon Lucey and published by . This book was released on 1998 with total page 396 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Image Compression Using Vector Quantization

Download or read book Image Compression Using Vector Quantization written by Sharon Malka Perlmutter and published by . This book was released on 1995 with total page 366 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Vector Quantization and Signal Compression

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 1991-11-30 with total page 762 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.

Book Intelligent System Design

Download or read book Intelligent System Design written by Suresh Chandra Satapathy and published by Springer Nature. This book was released on 2020-08-10 with total page 865 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a collection of high-quality, peer-reviewed research papers from the 6th International Conference on Information System Design and Intelligent Applications (INDIA 2019), held at Lendi Institute of Engineering & Technology, India, from 1 to 2 November 2019. It covers a wide range of topics in computer science and information technology, including data mining and data warehousing, high-performance computing, parallel and distributed computing, computational intelligence, soft computing, big data, cloud computing, grid computing and cognitive computing.

Book Image Compression and Classification Using Vector Quantization

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:

Book Advances in Cryptology

Download or read book Advances in Cryptology written by Thomas Beth and published by Springer. This book was released on 1985-12-01 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Digital Image Compression Techniques

Download or read book Digital Image Compression Techniques written by Majid Rabbani and published by SPIE Press. This book was released on 1991 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: In order to utilize digital images effectively, specific techniques are needed to reduce the number of bits required for their representation. This Tutorial Text provides the groundwork for understanding these image compression tecniques and presents a number of different schemes that have proven useful. The algorithms discussed in this book are concerned mainly with the compression of still-frame, continuous-tone, monochrome and color images, but some of the techniques, such as arithmetic coding, have found widespread use in the compression of bilevel images. Both lossless (bit-preserving) and lossy techniques are considered. A detailed description of the compression algorithm proposed as the world standard (the JPEG baseline algorithm) is provided. The book contains approximately 30 pages of reconstructed and error images illustrating the effect of each compression technique on a consistent image set, thus allowing for a direct comparison of bit rates and reconstucted image quality. For each algorithm, issues such as quality vs. bit rate, implementation complexity, and susceptibility to channel errors are considered.

Book Image Compression Using One dimensional Vector Quantization

Download or read book Image Compression Using One dimensional Vector Quantization written by Aiman El-Maleh and published by . This book was released on 1991 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Image Compression Using Wavelets and Vector Quantization

Download or read book Image Compression Using Wavelets and Vector Quantization written by Chowdary Vasireddy and published by . This book was released on 2004 with total page 190 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Image Segmentation and Compression Using Hidden Markov Models

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.

Book Image Compression Using Subjective Vector Quantization

Download or read book Image Compression Using Subjective Vector Quantization written by Ronny Quesnel and published by . This book was released on 1992 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt: "The goal of this research is to improve the subjective quality of real world imagery encoded with spatial vector quantization (VQ). Improved subjective quality implies that a human perceives less visually objectionable distortion when looking at the coded images. Through study of several basic VQ schemes, the issues fundamental to achieving good subjective quality are uncovered and addressed in this work. Vector quantization is very good at reproducing quasi-uniform textures in an image, but has difficulty in reproducing abrupt changes in textures (edges) and fine detail and can cause a block effect which is subjectively annoying. A second generation coding scheme is developed which takes certain properties of the human visual system into account. A promising method which is developed utilizes omniscient finite state VQ, a new quadratic distortion measure which penalizes the misrepresentation of edges, and brightness compensation based on Steven's power law. The proposed subjective VQ is compared with several classical, first generation VQ methods." --

Book Image Compression Using Vector Quantization and Lossless Index Coding

Download or read book Image Compression Using Vector Quantization and Lossless Index Coding written by Mark Dee Hetherington and published by . This book was released on 1993 with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Image Compression Using Vector Quantization for VLSI Implementation

Download or read book Image Compression Using Vector Quantization for VLSI Implementation written by C. S. Ramsay and published by . This book was released on 1995 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Harmony Search and Nature Inspired Optimization Algorithms

Download or read book Harmony Search and Nature Inspired Optimization Algorithms written by Neha Yadav and published by Springer. This book was released on 2018-08-23 with total page 1209 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book covers different aspects of real-world applications of optimization algorithms. It provides insights from the Fourth International Conference on Harmony Search, Soft Computing and Applications held at BML Munjal University, Gurgaon, India on February 7–9, 2018. It consists of research articles on novel and newly proposed optimization algorithms; the theoretical study of nature-inspired optimization algorithms; numerically established results of nature-inspired optimization algorithms; and real-world applications of optimization algorithms and synthetic benchmarking of optimization algorithms.

Book An Algorithm for Image Compression Using Differential Vector Quantization

Download or read book An Algorithm for Image Compression Using Differential Vector Quantization written by James Edwin Fowler and published by . This book was released on 1992 with total page 84 pages. Available in PDF, EPUB and Kindle. Book excerpt: