Data Compression Conference (DCC'06) Snowbird, Utah March 28-March 30 ISBN: 0-7695-2545-8
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/DCC.2006.55
Transform coding is central to standards for audio, image and video coding. In conventional transform coding, the encoder first performs a linear transformation, followed by uniform scalar quantization and scalar entropy coding. With scalar quantization, to minimize the distortion at high rate, the best one can hope for is a quantizer that partitions into hypercubes; and with scalar entropy coding, one desires independent transform coefficients to minimize the rate. Transform coding has a clean analytical theory for Gaussian sources because these two virtues can be achieved simultaneously.
Citation:
Demba E. Ba, Vivek K Goyal, "Nonlinear Transform Coding: Polar Coordinates Revisited," dcc, pp.438, Data Compression Conference (DCC'06), 2006 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||