Title :
Modified VQ-BTC algorithm for image compression
Author :
Wang, Chou-Chen ; Chen, Chin-Hsing ; Chen, I-Hong
Author_Institution :
Dept. of Electr. Eng., Nat. Cheng Kung Univ., Tainan, Taiwan
fDate :
7/9/1998 12:00:00 AM
Abstract :
VQ-BTC is a recent technique used in the coding of image data to combat edge degradation produced by vector quantisation (VQ) or block truncation coding (BTC). However, it has high encoding complexity and needs a large amount of memory to store 31 codebooks at both the encoder and decoder. A modified VQ-BTC (MVQ-BTC) algorithm is presented which achieves a performance close to that of VQ-BTC, but needs only three codebooks, and requires less computation time than VQ-BTC
Keywords :
block codes; image coding; vector quantisation; block truncation coding; computation time reduction; encoding complexity; image compression; image data coding; modified VQ-BTC algorithm; vector quantisation;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:19980767
