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Bevinakoppa S. Still Image Compression on Parallel Computer Architectures

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Bevinakoppa S. Still Image Compression on Parallel Computer Architectures
Springer, 1999. — 220 p.
This book explains investigation of the application of parallel processing techniques to digital image compression. Digital image compression is used to reduce the number of bits required to store an image in computer memory and/or transmit it over communication link. Over the past decade advancements in technology have spawned many applications of digital imaging, such as photo videotex, desktop publishing, graphics arts, colour facsimile, newspaper wirephoto transmission, medical imaging. For many other contemporary applications, such as distributed multimedia systems rapid transmission of images is necessary. Dollar cost as well as time cost of transmission and storage tend to be directly proportional to the volume of data. Therefore, application of digital image compression techniques become necessary minimise costs.
A number of digital image compression algorithms have been developed and standardised. With the success of these algorithms, research effort is now directed towards improving implementation techniques. Joint Photographic Experts Group (JPEG) and Motion Photographic Experts Group (MPEG) are international organisations which have developed digital image compression standards. Hardware (VLSI chips) which implement the JPEG image compression algorithm are available. Such hardware is specific to image compression only and can not be used for other image processing applications. A flexible means of implementing digital image compression algorithms is still required. An obvious method of processing different imaging applications on general purpose hardware platforms is to develop software implementations.
JPEG uses an 8 x 8 block of image samples as the basic element for compression. These blocks are processed sequentially. There is always a possibility of having similar blocks in a given image. If similar blocks in an image is located, then repeated compression of these blocks is not necessary. By locating similar blocks in the image, speed of compression can be increased and the size of compressed image can be reduced. Based on this concept an enhancement to the JPEG algorithm is proposed, called Block Comparator Technique (BCT).
Most of the current implementation of JPEG and MPEG compression methods are in sequential form. Parallel processors are becoming more affordable and are likely be used quite extensively in the near future. Therefore various options for implementing digital image compression algorithms were investigated on parallel computer architectures.
Introduction
Digital Image Compression Techniques
Parallel Processing Plans for Digital Image Compression Techniques
Implementation of Jpeg Algorithm on Parallel Computers
Simulation of Digital Image Compression Techniques
Conclusions
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