DocumentCode :
1253169
Title :
VQ-adaptive block transform coding of images
Author :
Caglar, H. ; Gunturk, S. ; Sankur, B. ; Anarim, Emin
Author_Institution :
Dept. of Electr. & Electron. Eng., Bogazici Univ., Istanbul
Volume :
7
Issue :
1
fYear :
1998
fDate :
1/1/1998 12:00:00 AM
Firstpage :
110
Lastpage :
115
Abstract :
Two new design techniques for adaptive orthogonal block transforms based on vector quantization (VQ) codebooks are presented. Both techniques start from reference vectors that are adapted to the characteristics of the signal to be coded, while using different methods to create orthogonal bases. The resulting transforms represent a signal coding tool that stands between a pure VQ scheme on one extreme and signal-independent, fixed block transformation-like discrete cosine transform (DCT) on the other. The proposed technique has superior compaction performance as compared to DCT both in the rendition of details of the image and in the peak signal-to-noise ratio (PSNR) figures
Keywords :
adaptive codes; image coding; transform coding; vector quantisation; PSNR; VQ-adaptive block transform coding; adaptive orthogonal block transforms; details rendition; discrete cosine transform; fixed block transformation-like DCT; image analysis; image coding; orthogonal bases; peak signal-to-noise ratio; reference vectors; signal characteristics; signal coding tool; signal-independent DCT; vector quantization codebooks; Books; Compaction; Discrete cosine transforms; Discrete transforms; Image coding; Karhunen-Loeve transforms; PSNR; Statistics; Transform coding; Vector quantization;
fLanguage :
English
Journal_Title :
Image Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1057-7149
Type :
jour
DOI :
10.1109/83.650855
Filename :
650855
Link To Document :
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