Download or read book Image Compression Techniques Using Vector Quantization written by Colin Scott Ramsay and published by . This book was released on 1994 with total page 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 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 On Effective Compression Using Vector Quantization and Pyramid Processing written by Zhongxiu Wen and published by . This book was released on 1989 with total page 156 pages. Available in PDF, EPUB and Kindle. Book excerpt: Vector quantization (VQ) is an effective spatial domain image compression technique which maps discrete k-dimensional vectors into a digital sequence suitable for communication or storage. This research investigates methods for improving the performance of vector quantization based on pyramid tools. An iterative optimization clustering VQ procedure based upon an initial codebook randomly sampled from the training set is presented. The main idea of the proposed algorithm is that a set of new cluster means is generated by using an iterative clustering algorithm, with the previous codewords as seeds. The training set is drawn from the present training images. The resulting cluster means are then used in a new codebook which is continually refined so that each iteration reduces the distortion involved in coding a given training set. The goal of such system is to reduce the bit rate so as to minimize communication channel capacity or digital storage memory requirement. This VQ can provide a reduction from 8 bits per pixel (bpp) to 2 bpp or 0.5 bpp with negligible degradation image quality. Vector quantization usually requires extensive computations. In this thesis both the pyramid processing and the fast algorithms are examined for vector quantization. After a brief introduction of the topic in Chapter 1, the history and fundamentals of vector quantization are presented in Chapter 2. Chapter 3 describes the concepts and techniques of pyramid image processing. A new VQ algorithm which is employed in the thesis is examined in Chapter 4. In Chapter 5 the importance of post-processing is emphasized with illustrative results. Even with post-processing the vector quantization method considered indeed provides a significantly better image compression over existing image compression technique.

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:

Download or read book Nature inspired Metaheuristic Algorithms written by Xin-She Yang and published by Luniver Press. This book was released on 2010 with total page 148 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

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.

Download or read book Fractal and Wavelet Image Compression Techniques written by Stephen T. Welstead and published by SPIE Press. This book was released on 1999 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: Interest in image compression for internet and other multimedia applications has spurred research into compression techniques that will increase storage capabilities and transmission speed. This tutorial provides a practical guide to fractal and wavelet approaches--two techniques with exciting potential. It is intended for scientists, engineers, researchers, and students. It provides both introductory information and implementation details. Three Windows-compatible software systems are included so that readers can explore the new technologies in depth. Complete C/C++ source code is provided, enabling readers to go beyond the accompanying software. The mathematical presentation is accessible to advanced undergraduate or beginning graduate students in technical fields.

Download or read book Novel Image Compression Methods Based on Vector Quantization written by M. Mary Shanthi Rani and published by LAP Lambert Academic Publishing. This book was released on 2014-12-22 with total page 188 pages. Available in PDF, EPUB and Kindle. Book excerpt: The rapid growth and development of electronic imaging in the recent years has led to large scale digital media archives. These are increasingly becoming popular as more and more digital media contents are created and deployed online every day. A critical issue in designing such archives is effective storage of the data. Uncompressed data requires more storage and huge bandwidth for transmission. Though the cost of storage is rapidly dropping, compression still remains as a challenging issue due to the growing number of multimedia based online applications. This necessitates the design of highly efficient image compression systems which promise good image quality and compression ratios with low computational complexity. This book is an outcome of the research in vector quantization based methods for compressing still images. It discusses novel image compression methods with performance analysis using standard compression metrics and their vital role in real-time applications. The proposed methods can be used in applications like Medical Image Processing, Mobile Applications, Biometrics, Remote Sensing and other online web applications.

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 228 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

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:

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 Vector Quantization for Image Compression written by Jianhua Lin and published by . This book was released on 1992 with total page 186 pages. Available in PDF, EPUB and Kindle. Book excerpt:

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.

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 Image and Video Indexing Using Vector Quantization written by Fayez M. Idris and published by . This book was released on 2000 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Visual database systems require efficient indexing to enable fast access to the images and video. In addition, the large memory capacity and channel bandwidth requirements for the storage and transmission of visual data necessitate the use of compression techniques. Future multimedia applications are likely to increasingly store and transmit the visual information in compressed form. Hence indexing the visual content in compressed domain is expected to result in significant savings in computational complexity. Vector quantization (VQ) is an efficient technique for low bit rate image and video compression. In addition, the lower complexity of the decoder makes VQ attractive for low power systems and applications which require fast decoding. Most importantly, VQ is naturally an indexing technique, where a block of pixels is compactly represented using an index (label) which corresponds to a codebook. In this thesis, we propose the novel concept of using VQ for joint compression and indexing of images and video. The images/image frames are compressed using VQ and the labels and codewords are employed in indexing the visual content. First, we present a review of image/video compression and indexing. We then propose two techniques in the VQ compressed domain for image indexing. In the first technique, the histogram of codewords weighted by the number of labels is used as feature vector for indexing. In the second technique, the histogram of the labels, which are used to represent an image, is used as an index. We also propose a new technique based on adaptive wavelet VQ, which provides an improvement in coding and retrieval performance. Here, the images are decomposed using wavelet transform followed by VQ of the transform coefficients. A usage map of codewords is generated for each image and is stored along with the image. In the retrieval process, the usage map of the query image (VQ encoded) is compared with the corresponding usage maps of the target images in the database. Since video has both spatial and temporal dimensions, a straightforward extension of the image indexing techniques for video indexing is inefficient. We propose to employ both the spatial and temporal features for efficient indexing of video clips. The video sequence is partitioned into shots using the label maps of the individual frames and the camera operations and motion within each shot are then determined by further processing the label maps. Each shot is then represented using a spatio-temporal index. The spatial index represents the content of the key frame (image) of a shot, while the temporal index represents the motion and camera operations within the shot. Detailed simulations have been carried out using a large database of images and video sequences. Simulation results demonstrate the excellent retrieval performance of the proposed techniques at a significantly reduced computational complexity.

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: