Discrete cosine transform: algorithms, advantages, applications
Discrete cosine transform: algorithms, advantages, applications
Fractal image compression
Vector quantization and signal compression
Vector quantization and signal compression
Fractal image compression: theory and application
Fractal image compression: theory and application
Wavelets and subband coding
Data compression: the complete reference
Data compression: the complete reference
Introduction to data compression
Introduction to data compression
Subband Image Coding
MPEG Video Compression Standard
MPEG Video Compression Standard
Digital Video: An introduction to MPEG-2
Digital Video: An introduction to MPEG-2
Image and Video Compression Standards: Algorithms and Architectures
Image and Video Compression Standards: Algorithms and Architectures
LOCO-I: a low complexity, context-based, lossless image compression algorithm
DCC '96 Proceedings of the Conference on Data Compression
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Digital image compression methods reduce the space necessary to encode, store or transmit digital images by changing the way those images are represented. To see why image compression is desirable, consider an 8 × 10 inch color picture, digitized using a resolution of 600 pixels per inch and a byte for each of three color planes. Then the number of bytes required to represent each image is: