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Lossy Image Compression: Domain Decomposition-Based Algorithms (SpringerBriefs in Computer Science)

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Image data compression is concerned with minimization of the number of information carrying units used to represent an image. Image compression schemes can be divided into two broad classes: lossless compression schemes and lossy compression schemes. Lossless compression techniques, as their name implies aim at exact reconstruction and involve no loss of information. Lossy compression techniques accept some loss of information, therefore images compressed using a lossy technique cannot be reconstructed exactly. The distortion in the image caused by lossy compression may be imperceptible to humans and we obtain much higher compression ratios than is possible with lossless compression. Lossy compression scheme can be further divided into three major categories: 1. Transform coding, 2. Fractal image compression, and 3. Domain Decomposition. Joint Photographic Expert Group (JPEG), JPEG2000, Binary Tree Triangular Coding (BTTC) etc. are the examples of lossy image compression methods. This book describes five new domain decomposition based lossy image compression algorithms, evaluation of their performance and their parallel implementation.

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Magnetohydrodynamics of Laboratory and Astrophysical Plasmas
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This book puts the larger vision of ubiquitous computing in the context of todays mobile and distributed...

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The dream behind interconnecting large numbers of computers has been to have their combined capabilities serve users as one. This distributed computer would compose its resources so as to offer functionality, dependability, and performance, that far exceed those offered by a single isolated computer. This dream has started to be realized, insofar...
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Write algorithms and program in the new field of quantum computing. This book covers major topics such as the physical components of a quantum computer: qubits, entanglement, logic gates, circuits, and how they differ from a traditional computer. Also, Practical Quantum Computing for Developers...
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