Title :
Interpolative vector quantization of color images
Author :
Hang, Hsueh-ming ; Haskell, Barry G.
Author_Institution :
AT&T Labs., Holmdel, NJ, USA
fDate :
4/1/1988 12:00:00 AM
Abstract :
Interpolative vector quantization has been devised to alleviate the visible block structure of coded images plus the sensitive codebook problems produced by a simple vector quantizer. In addition, the problem of selecting color components for color picture vector quantization is discussed. Computer simulations demonstrate the success of this coding technique for color image compression at approximately 0.3 b/pel. Some background information on vector quantization is provided
Keywords :
analogue-digital conversion; codes; computerised picture processing; digital simulation; encoding; interpolation; coded images; coding technique; colour images; computer simulation; image compression; interpolative vector quantisation; sensitive codebook; Codecs; Color; Computer simulation; Discrete cosine transforms; Hardware; Image coding; Image segmentation; Proposals; Speech; Vector quantization;
Journal_Title :
Communications, IEEE Transactions on
