Title :
An interblock BTC-VQ image coder
Author :
Weitzman, A. ; Mitchell, H.B.
Author_Institution :
Beer Sheva Univ., Israel
fDate :
30 Aug-3 Sep 1992
Abstract :
For real-time image compression block truncation coding (BTC) is an attractive algorithm; it is simple to code, computationally fast and has good reconstruction image quality. Its main drawback is its high bit-rate of 2.0 bit/pixel. The authors show how the algorithm can be modified to take into account interblock correlations. The new algorithm retains all the advantages of the original BTC algorithm but with a much lower bit-rate
Keywords :
correlation methods; data compression; image coding; image reconstruction; block truncation coding; image coding; image reconstruction; interblock BTC-VQ image coder; interblock correlations; real-time image compression; vector quantisation; Classification algorithms; Computational complexity; Electronics industry; Image coding; Image quality; Image reconstruction; Iterative methods; Pixel;
Conference_Titel :
Pattern Recognition, 1992. Vol.III. Conference C: Image, Speech and Signal Analysis, Proceedings., 11th IAPR International Conference on
Conference_Location :
The Hague
Print_ISBN :
0-8186-2920-7
DOI :
10.1109/ICPR.1992.202015
