Transform-based fine-coarse vector quantization
Fine-coarse vector quantization (FCVQ) is a fast method for searching an unstructured vector quantization codebook. This approach imposes slight distortion to the image and requires substantially large storage. The storage requirement restricts the dimension of the vector blocks. The FCVQ is designed in the transform domain (FCVQ-TB) to provide a possible solution to the problem of memory requirement. Experiments are given to evaluate the performance of the FCVQ-TB.<<ETX>>