Title :
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
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;
Conference_Titel :
Circuits and Systems, 1997. ISCAS '97., Proceedings of 1997 IEEE International Symposium on
Print_ISBN :
0-7803-3583-X
DOI :
10.1109/ISCAS.1997.622063
