Image compression using VQ-BTC

Author

Mohamed, Sherif A. ; Fahmy, Moustafa M.

Author_Institution

Dept. of Electr. Eng., Queen´´s Univ., Kingston, Ont., Canada

Volume

43

Issue

7

fYear

1995

fDate

7/1/1995 12:00:00 AM

Firstpage

2177

Lastpage

2182

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;

fLanguage

English

Journal_Title

Communications, IEEE Transactions on

Publisher

ieee

ISSN

0090-6778

Type

jour

DOI

10.1109/26.392959

Filename

392959