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