Title :
Transform-based fine-coarse vector quantization
Author :
Lam, Kin-Man ; Siu, Wan-Chi ; Tse, Kai-Ming
Author_Institution :
Dept. of Electron. Eng., Hong Kong Polytech., Kowloon, Hong Kong
Abstract :
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
Keywords :
computational complexity; image coding; table lookup; transforms; vector quantisation; VQ; fast method; fine-coarse vector quantization; lookup table construction; memory requirement; storage requirement; transform domain; unstructured vector quantization codebook; Arithmetic; Computational complexity; Discrete cosine transforms; Distortion measurement; Frequency; Image coding; Image storage; Partitioning algorithms; Table lookup; Vector quantization;
Conference_Titel :
Circuits and Systems, 1993., ISCAS '93, 1993 IEEE International Symposium on
Conference_Location :
Chicago, IL
Print_ISBN :
0-7803-1281-3
DOI :
10.1109/ISCAS.1993.393810
