Unified variable-length transform coding and image-adaptive vector quantization
L. Wang, Morris Goldberg, Seymour Shlien · IEEE Journal on Selected Areas in Communications · 1992
The authors introduce an image coding method which unifies two image coding techniques: variable-length transform coding (VLTC) and image-adaptive vector quantization (IAVQ). In both VLTC and IAVQ, the image is first decomposed into a set of blocks. VLTC encodes each block in the transform domain very efficiently: however, it ignores the interblock correlation completely. IAVQ addresses the interblock correlation by using a codebook generated from a subset of the blocks to vector-quantize all blocks. Although the resulting codebook represents the input image better than a universal codebook generated from a large number of training images, it has to be transmitted separately as an overhead, therefore degrading the coding performance at high bit rates.>