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