Title :
Image compression using VQ-BTC
Author :
Mohamed, Sherif A. ; Fahmy, Moustafa M.
Author_Institution :
Dept. of Electr. Eng., Queen´´s Univ., Kingston, Ont., Canada
fDate :
7/1/1995 12:00:00 AM
Abstract :
Vector quantization (VQ) and block truncation coding (BTC) are successful image compression techniques. However, a reproduced image using VQ or BTC suffers from edge degradation. A new technique that combines the advantages of both VQ and BTC to combat this degradation is presented and is referred to as VQ-BTC. In VQ-BTC, a low-detail block is encoded using VQ. For a high-detail block, a modification of BTC is used to determine the locations of the relatively lighter and relatively darker pixels inside the block and VQ is then used to encode each. VQ-BTC provides improved edge reproduction and much lower bit rates than those obtained by BTC
Keywords :
image coding; image segmentation; vector quantisation; VQ-BTC; bit rates; block truncation coding; edge degradation; edge reproduction; high-detail block; image compression; image reproduction; image segmentation; low-detail block; pixels; vector quantization; Bit rate; Communications Society; Decoding; Degradation; Digital images; Image coding; Image communication; Image storage; Petroleum; Pixel; Quantization; Societies;
Journal_Title :
Communications, IEEE Transactions on
