Regularized restoration of VQ compressed images with constrained least squares approach

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

Regularized restoration of VQ compressed images with constrained least squares approach

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

The Hong Kong Polytechnic University

Research output: Journal article publication › Conference article › Academic research › peer-review

1 Citation (Scopus)

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 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.

Original language	English
Pages (from-to)	1257-1260
Number of pages	4
Journal	Proceedings - IEEE International Symposium on Circuits and Systems
Volume	2
Publication status	Published - 1 Jan 1997
Event	Proceedings of the 1997 IEEE International Symposium on Circuits and Systems, ISCAS'97. Part 4 (of 4) - Hong Kong, Hong Kong Duration: 9 Jun 1997 → 12 Jun 1997

ASJC Scopus subject areas

Electrical and Electronic Engineering
Electronic, Optical and Magnetic Materials

More information

http://hdl.handle.net/10397/1506

Cite this

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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 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.",

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Y1 - 1997/1/1

N2 - 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 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.

AB - 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 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.

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M3 - Conference article

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EP - 1260

JO - Proceedings - IEEE International Symposium on Circuits and Systems

JF - Proceedings - IEEE International Symposium on Circuits and Systems

T2 - Proceedings of the 1997 IEEE International Symposium on Circuits and Systems, ISCAS'97. Part 4 (of 4)

Y2 - 9 June 1997 through 12 June 1997

ER -

Regularized restoration of VQ compressed images with constrained least squares approach

Abstract

ASJC Scopus subject areas

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