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Data Compression Conference (DCC'06)
Snowbird, Utah
March 28-March 30
ISBN: 0-7695-2545-8
Demba E. Ba, Massachusetts Institute of Technology
Vivek K Goyal, Massachusetts Institute of Technology
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
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