On Optimal Bit Allocation for Classification‐Based Source‐Dependent Transform Coding

Abstract

An optimal bit allocation is presented for classification-based source-dependent transform coding. A vector of transform coefficients is considered to have been produced by a mixture of processes. The available bit resource is distributed optimally in two stages: (1) bit allocation is performed for each class of coefficient vectors, and (2) bit allocation is performed for each vector coefficient. The solution for low bit rates imposing nonnegative bit resource is also presented. The rate-distortion bound of the classification-based source coding is derived.

Block Classification and Transmission of Compressed Image with Bit Allocation and Unequal Error Protection

“…This algorithm has high computational complexity. Various bit allocation model have been proposed based on information theory [4]- [7].…”