On Optimal Bit Allocation for Classification-Based Source-Dependent Transform Coding
Figure 1
Example of rate-distortion bound improvement
for source-dependent quantization. Data are assumed from 4 different sources,
transformed by discrete cosine transform (DCT). Ideal classification after the
DCT transform prior to quantization. Class probabilities are 0.7, 0.1, 0.1, and 0.1. Original sources
are stationary unit variance, zero mean, first-order, Markov processes with from the set .
