Title :
VLSI design for a new adaptive image compress coding
Author :
Ke, Jiang ; Yan, Ding Bao ; Ling, Zhang Qian
Author_Institution :
ASIC & Syst. Lab., Fudan Univ., Shanghai, China
Abstract :
This paper presents a new adaptive classified image coding which combine the high-compression ratio of vector quantization and edge-preserving ability of BTC. The VLSI design for this algorithm is described too. In our design, the parallel-pipeline architecture is adopted for closest codeword searching, and mean absolute error scheme is used as distortion measure in order to reduce the scale of circuit
Keywords :
VLSI; adaptive codes; data compression; digital signal processing chips; image coding; integrated circuit design; BTC; VLSI design; adaptive image compress coding; algorithm; closest codeword searching; compression ratio; distortion measurement; edge preservation; mean absolute error; parallel-pipeline architecture; vector quantization; Adaptive coding; Algorithm design and analysis; Application specific integrated circuits; Bit rate; Decoding; Degradation; Distortion measurement; Image coding; Vector quantization; Very large scale integration;
Conference_Titel :
ASIC, 1996., 2nd International Conference on
Conference_Location :
Shanghai
Print_ISBN :
7-5439-0940-5
DOI :
10.1109/ICASIC.1996.562766
