Author: Sanjay MishraPublisher:
ISBN:
Category : Data compression (Computer science)
Languages : en
Pages : 240
Book Description
An Algorithm for Image Data Compression Based on Vector Quantization
Author: Sanjay MishraPublisher:
ISBN:
Category : Data compression (Computer science)
Languages : en
Pages : 240
Book Description
Vector Quantization and Signal Compression
Author: Allen GershoPublisher: Springer Science & Business Media
ISBN: 0792391810
Category : Technology & Engineering
Languages : en
Pages : 762
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.
An Iteratively Interpolative Vector Quantization Algorithm for Color Image Data Compression
Author: James Melvin CrisseyPublisher:
ISBN:
Category : Data compression (Computer science)
Languages : en
Pages : 418
Book Description
Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2021
Author: Aboul Ella HassanienPublisher: Springer Nature
ISBN: 303089701X
Category : Technology & Engineering
Languages : en
Pages : 412
Book Description
This proceeding book constitutes the refereed proceedings of the 7th International Conference on Advanced Intelligent Systems and Informatics (AISI 2021), which took place in Cairo, Egypt, during December 11-13, 2021, and is an international interdisciplinary conference that presents a spectrum of scientific research on all aspects of informatics and intelligent systems, technologies, and applications.
Application of Image Data Compression Using Vector Quantization
Author: Walid Philip KaramPublisher:
ISBN:
Category : Algorithms
Languages : en
Pages : 112
Book Description
Nature-inspired Metaheuristic Algorithms
Author: Xin-She YangPublisher: Luniver Press
ISBN: 1905986289
Category : Computers
Languages : en
Pages : 148
Book Description
Modern metaheuristic algorithms such as bee algorithms and harmony search start to demonstrate their power in dealing with tough optimization problems and even NP-hard problems. This book reviews and introduces the state-of-the-art nature-inspired metaheuristic algorithms in optimization, including genetic algorithms, bee algorithms, particle swarm optimization, simulated annealing, ant colony optimization, harmony search, and firefly algorithms. We also briefly introduce the photosynthetic algorithm, the enzyme algorithm, and Tabu search. Worked examples with implementation have been used to show how each algorithm works. This book is thus an ideal textbook for an undergraduate and/or graduate course. As some of the algorithms such as the harmony search and firefly algorithms are at the forefront of current research, this book can also serve as a reference book for researchers.
Perceptually Based Image Data Compression Using Vector Quantization
Author: James Alan ButkovicPublisher:
ISBN:
Category : Electrical engineering
Languages : en
Pages : 234
Book Description
Digital Image Compression Techniques
Author: Majid RabbaniPublisher: SPIE Press
ISBN: 9780819406484
Category : Computers
Languages : en
Pages : 248
Book Description
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.
Real-Time Aggressive Image Data Compression
Author: Publisher:
ISBN:
Category :
Languages : en
Pages : 174
Book Description
The objective of the proposed research is to develop reliable algorithms that can achieve aggressive image data compression (with a compression ratio of 60 times or more) for real-time implementation. Typical applications of such algorithms include terrestrial HDTV broadcasting, space communications, and handling and disposing of toxic materials and nuclear wastes with remotely controlled robots. The state-of-the-art techniques are hampered by serious technical barriers of codebook design complexity. The proposed approach is built on a vector quantization (VQ) algorithm recently developed by the PI. The codebook design complexity of this VQ algorithm is only linearly proportional to the codebook size (significantly less than conventional algorithms) and the encoding complexity is independent of codebook size. Highlighting the proposed approach is a piecewise-linear transform preceding VQ based on the concept of entropy partitioning. The novelty of the proposed algorithm is due to the following: (1) introduction of a piecewise-linear transform to VQ so as to retain more input information: (2) exploiting both inter-block and intra-block redundancy, (3) use of parallel distributed network for real-time codebook design. The proposed research is significant as (1) it addresses the imminent demands of solving the aforementioned real-world problems; (2) its accomplishment will alleviate the serious complexity barrier of conventional VQ algorithms; (3) it pushes forward the technical frontiers of data compression.
Author: James Edwin Fowler