Author: Eve Ann RiskinPublisher:
ISBN:
Category :
Languages : en
Pages : 236
Book Description
Variable Rate Vector Quantization of Images
Author: Eve Ann RiskinThe Development of Algorithms for Variable Rate Vector Quantization in Image Compression
Author: George Beshara BendakPublisher:
ISBN:
Category : Computer algorithms
Languages : en
Pages : 168
Book Description
Variable Rate Structured Vector Quantization and Applications to Multiresolution Image Coding
Author: Mahesh BalakrishnanVariable-rate Finite-state Vector Quantization and Applications to Speech and Image Coding
Author: Y. HussainVector Quantization and Signal Compression
Author: Allen GershoPublisher: Springer Science & Business Media
ISBN: 146153626X
Category : Technology & Engineering
Languages : en
Pages : 737
Book Description
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.
Advances in Variable Rate Vector Quantization
Author: Ulug BayazitLow-rate Image Compression Using Vector Quantization
Author: Simon LuceyPublisher:
ISBN:
Category : Image compression
Languages : en
Pages : 396
Book Description
Handbook of Visual Communications
Author: Hseuh-Ming HangPublisher: Elsevier
ISBN: 0080918549
Category : Computers
Languages : en
Pages : 537
Book Description
This volume is the most comprehensive reference work on visual communications to date. An international group of well-known experts in the field provide up-to-date and in-depth contributions on topics such as fundamental theory, international standards for industrial applications, high definition television, optical communications networks, and VLSI design. The book includes information for learning about both the fundamentals of image/video compression as well as more advanced topics in visual communications research. In addition, the Handbook of Visual Communications explores the latest developments in the field, such as model-based image coding, and provides readers with insight into possible future developments. - Displays comprehensive coverage from fundamental theory to international standards and VLSI design - Includes 518 pages of contributions from well-known experts - Presents state-of-the-art knowledge--the most up-to-date and accurate information on various topics in the field - Provides an extensive overview of international standards for industrial applications
Low Bit Rate Vector Quantization of Images Using a Gain-spectral Image Block Classification Scheme
Author: Michael KerryImage and Text Compression
Author: James A. StorerPublisher: Springer Science & Business Media
ISBN: 1461535964
Category : Technology & Engineering
Languages : en
Pages : 355
Book Description
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.