DocumentCode :
1316566
Title :
Efficient classification and codebook design for CVQ
Author :
Quweider, M.K. ; Salari, E.
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Toledo Univ., OH, USA
Volume :
143
Issue :
6
fYear :
1996
fDate :
12/1/1996 12:00:00 AM
Firstpage :
344
Lastpage :
352
Abstract :
An efficient block classification and a new codebook design algorithms for classified vector quantisation (CVQ) are presented. The classification method is particularly simple and suited for hardware or software implementation. For each nonshade block, a local threshold is computed and used to binarise the block. The binary block is then compared with a predefined set of binary edge templates to decide its nature. On the other hand, the codebook design algorithm generates the codevectors in a short time, while providing considerable computational savings. It only uses the AC energy of the training set vectors to produce the codebook and the AC energy of an input block for its encoding. Subsequently, the actual codebook does not have to be present at the transmitter end. Good quality images, as measured by subjective and objective measures, are produced at bit rates in the range 0.64-0.87 bits per pixel (bpp)
Keywords :
block codes; image classification; image coding; vector quantisation; AC energy; CVQ; binary block; binary edge templates; bit rates; classification; classified vector quantisation; codebook design; codevectors; local threshold; nonshade block; training set vectors;
fLanguage :
English
Journal_Title :
Vision, Image and Signal Processing, IEE Proceedings -
Publisher :
iet
ISSN :
1350-245X
Type :
jour
DOI :
10.1049/ip-vis:19960779
Filename :
556691
Link To Document :
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