Titlebook: Image and Video Compression Standards; Algorithms and Archi Vasudev Bhaskaran,Konstantinos Konstantinides Book 1997Latest edition Springer

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Fundamentals of Lossy Video Compression,plied to the compression of image sequences (such as video) as well, by simply treating each image in the sequence as a still-image. This approach is inherently simple; however, it does not provide significant compression. For instance, consider an uncompressed image sequence at a data rate of 166 M

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RISC and DSP Cores,ISC or DSP core we imply a standard programmable processor, without the I/O pads, buffers, and associated circuitry. These parts are replaced by custom circuits that interface with the rest of the architecture. The main goal in using a processing core is to take advantage of existing hardware and so

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Architectures for the DCT,tures have been proposed for its implementation. These methods can be divided into two main categories. The first category includes techniques from linear matrix analysis and decomposition. Lee’s fast DCT is a typical example of this category. The second category includes algorithms from polynomial

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Hardware for Motion Estimation,oded based on its difference from another frame. In practice, frames are divided into blocks. For a block in the current frame (called the . or . block), motion estimation is the process of finding a block in another frame that best matches (according to a given criterion) its characteristics. A . i