Regularized restoration of VQ compressed images with constrained least squares approach

Author

Choy, Steven S O ; Yue, C.N. ; Hong, S.W. ; Chan, Yuk-Hee

Author_Institution

Dept. of Electron. Eng., Hong Kong Polytech. Univ., Hong Kong

Volume

2

fYear

1997

fDate

9-12 Jun 1997

Firstpage

1257

Abstract

In this paper, an iterative algorithm is proposed to restore VQ-encoded images. This algorithm incorporates adaptivity into simple CLS restoration algorithm by weighting every pixel according to its expected derivation from the original. This algorithm is fully compatible with any VQ codec to improve the codec´s coding performance. Computer simulations showed that the proposed scheme was superior to other conventional schemes in terms of SNR improvement. Besides, the image quality could also be improved subjectively by reducing the blocking effect

Keywords

adaptive signal processing; digital simulation; image coding; image restoration; iterative methods; least squares approximations; simulation; vector quantisation; SNR improvement; VQ codec compatibility; VQ compressed images; VQ-encoded image restoration; adaptivity; blocking effect reduction; codec coding performance; computer simulations; constrained least squares approach; image quality; iterative algorithm; pixel weighting; regularized restoration; Codecs; Degradation; Euclidean distance; Image coding; Image quality; Image restoration; Iterative algorithms; Least squares methods; Transform coding; Vector quantization;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 1997. ISCAS '97., Proceedings of 1997 IEEE International Symposium on

Print_ISBN

0-7803-3583-X

Type

conf

DOI

10.1109/ISCAS.1997.622063

Filename

622063