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:

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.

Download or read book Video Image Compression Using Subband Coding and Vector Quantization written by Eric Kwok-Leong Lo and published by . This book was released on 1994 with total page 90 pages. Available in PDF, EPUB and Kindle. Book excerpt:

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.

Download or read book Lossless Information Hiding in Images written by Zhe-Ming Lu and published by Syngress. This book was released on 2016-11-14 with total page 434 pages. Available in PDF, EPUB and Kindle. Book excerpt: Lossless Information Hiding in Images introduces many state-of-the-art lossless hiding schemes, most of which come from the authors' publications in the past five years. After reading this book, readers will be able to immediately grasp the status, the typical algorithms, and the trend of the field of lossless information hiding. Lossless information hiding is a technique that enables images to be authenticated and then restored to their original forms by removing the watermark and replacing overridden images. This book focuses on the lossless information hiding in our most popular media, images, classifying them in three categories, i.e., spatial domain based, transform domain based, and compressed domain based. Furthermore, the compressed domain based methods are classified into VQ based, BTC based, and JPEG/JPEG2000 based. - Focuses specifically on lossless information hiding for images - Covers the most common visual medium, images, and the most common compression schemes, JPEG and JPEG 2000 - Includes recent state-of-the-art techniques in the field of lossless image watermarking - Presents many lossless hiding schemes, most of which come from the authors' publications in the past five years

Download or read book Image and Video Compression written by Madhuri A. Joshi and published by CRC Press. This book was released on 2014-11-17 with total page 242 pages. Available in PDF, EPUB and Kindle. Book excerpt: Image and video signals require large transmission bandwidth and storage, leading to high costs. The data must be compressed without a loss or with a small loss of quality. Thus, efficient image and video compression algorithms play a significant role in the storage and transmission of data. Image and Video Compression: Fundamentals, Techniques, and Applications explains the major techniques for image and video compression and demonstrates their practical implementation using MATLAB® programs. Designed for students, researchers, and practicing engineers, the book presents both basic principles and real practical applications. In an accessible way, the book covers basic schemes for image and video compression, including lossless techniques and wavelet- and vector quantization-based image compression and digital video compression. The MATLAB programs enable readers to gain hands-on experience with the techniques. The authors provide quality metrics used to evaluate the performance of the compression algorithms. They also introduce the modern technique of compressed sensing, which retains the most important part of the signal while it is being sensed.

Download or read book JPEG2000 Image Compression Fundamentals Standards and Practice written by David Taubman and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 780 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is nothing less than a totally essential reference for engineers and researchers in any field of work that involves the use of compressed imagery. Beginning with a thorough and up-to-date overview of the fundamentals of image compression, the authors move on to provide a complete description of the JPEG2000 standard. They then devote space to the implementation and exploitation of that standard. The final section describes other key image compression systems. This work has specific applications for those involved in the development of software and hardware solutions for multimedia, internet, and medical imaging applications.

Download or read book Structured Vector Quantizers in Image Coding written by Manijeh Khataie and published by . This book was released on 1999 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Image data compression is concerned with the minimization of the volume of data used to represent an image. In recent years, image compression algorithms using Vector Quantization (VQ) have been receiving considerable attention. Unstructured vector quantizers, i.e., those with no restriction on the geometrical structure of the codebook, suffer from two basic drawbacks, viz., the codebook search complexity and the large storage requirement. This explains the interest in the structured VQ schemes, such as lattice-based VQ and multi-stage VQ. The objective of this thesis is to devise techniques to reduce the complexity of vector quantizers. In order to reduce the codebook search complexity and memory requirement, a universal Gaussian codebook in a residual VQ or a lattice-based VQ is used. To achieve a better performance, a part of work has been done in the frequency domain. Specifically, in order to retain the high-frequency coefficients in transform coding, two methods are suggested. One is developed for moderate to high rate data compression while the other is effective for low to moderate data rate. In the first part of this thesis, a residual VQ using a low rate optimal VQ in the first-stage and a Gaussian codebook in the other stages are introduced. From rate distortion theory, for most memoryless sources and many Gaussian sources with memory, the quantization error under MSE criterion, for small distortion, is memoryless and Gaussian. For VQ with a realistic rate, the error signal has a non-Gaussian distribution. It is shown that the distribution of locally normalized error signals, however, becomes close to a Gaussian distribution. In the second part, a new two-stage quantizer is proposed. The function of the first stage is to encode the more important low-pass components of the image and that of the second is to do the same for the high-frequency components ignored in the first stage. In one scheme, a high-rate lattice-based vector quantizer is used as the quantizer for both stages. In another scheme, the standard JPEG with a low rate is used as the quantizer of the first stage, and a lattice-based VQ is used for the second stage. The resulting bit rate of the two-stage lattice-based VQ in either scheme is found to be considerably better than that of JPEG for moderate to high bit rates. In the third part of the thesis, a method to retain the high-frequency coefficients is proposed by using a relatively huge codebook obtained by truncating the lattices with a large radius. As a result, a large number of points fall inside the boundary of the codebook, and thus, the images are encoded with high quality and low complexity: To reduce the bit rate, a shorter representation is assigned to the more frequently used lattice points. To index the large number of lattice points which fall inside the boundary, two methods that are based on grouping of the lattice points according to their frequencies of occurrence are proposed. For most of the test images, the proposed methods of retaining high-frequency coefficients is found to outperform JPEG.

Download or read book Image and Text Compression written by James A. Storer and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 355 pages. Available in PDF, EPUB and Kindle. Book excerpt: James A. Storer Computer Science Dept. Brandeis University Waltham, MA 02254 Data compression is the process of encoding a body of data to reduce stor age requirements. With Lossless compression, data can be decompressed to be identical to the original, whereas with lossy compression, decompressed data may be an acceptable approximation (according to some fidelity criterion) to the original. For example, with digitized video, it may only be necessary that the decompressed video look as good as the original to the human eye. The two primary functions of data compression are: Storage: The capacity of a storage device can be effectively increased with data compression software or hardware that compresses a body of data on its way to the storage device and decompress it when it is retrieved. Communications: The bandwidth of a digital communication link can be effectively increased by compressing data at the sending end and decom pressing data at the receiving end. Here it can be crucial that compression and decompression can be performed in real time.

Download or read book Compression on the Block Indexes in Image Vector Quantization written by and published by . This book was released on 2001 with total page 100 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Introduction to Data Compression written by Khalid Sayood and published by Elsevier. This book was released on 2006 with total page 704 pages. Available in PDF, EPUB and Kindle. Book excerpt: "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 Introduction to Data Compression, includes lossless and lossy compression, Huffman coding, arithmetic coding, dictionary techniques, context based compression, scalar and vector quantization. Khalid Sayood provides a working knowledge of data compression, giving the reader the tools to develop a complete and concise compression package upon completion of his book."--BOOK JACKET.

Download or read book High compression Image Coding Using Predictive Residual Vector Quantization written by Syed A. Rizvi and published by . This book was released on 1996 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt:

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:

Download or read book Computational RAM Implementations of Vector Quantization for Image and Video Compression written by Thinh Minh Le and published by . This book was released on 1995 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this thesis, Computational$\sp*$RAM (C$\sp*$RAM) implementations of Vector Quantization for image and video compression is proposed. Vector Quantization (VQ) is a powerful technique for low bit rate image and video compression. The coding performance can be further improved by employing the adaptive techniques at the expense of significant increase in computational complexity. Recently, a number of VLSI architectures for implementing VQ have been reported in the literature. These architectures are not programmable and rather complex. We proposed the mapping of VQ-based image and video compression algorithms on the C$\sp*$RAM architecture. C$\sp*$RAM is a SIMD-memory hybrid where the processing elements are attached to memory columns of a conventional RAM to take advantage of the on-chip high memory bandwidth for parallel computation. Implementation of VQ based on the mean absolute error measure using the C$\sp*$RAM's parallel structure is first presented. This follows with the details of the proposed Modified Scalable VQ algorithm. C$\sp*$RAM implementation of Modified SVQ is a mapping of binary tree onto parallel structure which results in scalable bit stream. We then propose a novel adaptive codebook replenishment VQ and index-based motion estimation (AVQ + ME) algorithm for video compression. Finally, the C$\sp*$RAM implementation of AVQ + ME is presented. Simulation results demonstrate a good coding performance at a significantly reduced computational complexity.

Download or read book Hyperspectral Data Compression written by Giovanni Motta and published by Springer Science & Business Media. This book was released on 2006 with total page 440 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides a survey of results in the field of compression of remote sensed 3D data, with a particular interest in hyperspectral imagery. This work covers topics such as compression architecture, lossless compression, lossy techniques, and more. It also describes a lossless algorithm based on 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:

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.