New adaptive iterative image restoration algorithm

S. S.O. Choy; Yuk Hee Chan; Wan Chi Siu

doi:10.1109/ICIP.1994.413655

New adaptive iterative image restoration algorithm

S. S.O. Choy, Yuk Hee Chan, Wan Chi Siu

The Hong Kong Polytechnic University

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

1 Citation (Scopus)

Abstract

It has been shown in the literature that adaptive regularized image restoration is superior to the non-adaptive case. However, the adaptivity introduced in most proposed iterative algorithms is based only on the application of the space-variant smoothing operator. It is found that these adaptive algorithms suffer from insufficient smoothing of the flat image regions. In this paper, an adaptive iterative image restoration algorithm, which applies both techniques of space-variant smoothing and space-variant restoration, is proposed to overcome the stated problem. It is shown by experiments that the restored images obtained by the proposed algorithm are better in terms of both numerical measurement and visual quality.

Original language	English
Article number	413655
Pages (from-to)	670-674
Number of pages	5
Journal	Proceedings - International Conference on Image Processing, ICIP
Volume	2
DOIs	https://doi.org/10.1109/ICIP.1994.413655
Publication status	Published - 1 Jan 1994
Event	Proceedings of the 1994 1st IEEE International Conference on Image Processing. Part 3 (of 3) - Austin, TX, United States Duration: 13 Nov 1994 → 16 Nov 1994

ASJC Scopus subject areas

Software
Computer Vision and Pattern Recognition
Signal Processing

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10.1109/ICIP.1994.413655

http://hdl.handle.net/10397/1527

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AU - Chan, Yuk Hee

AU - Siu, Wan Chi

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N2 - It has been shown in the literature that adaptive regularized image restoration is superior to the non-adaptive case. However, the adaptivity introduced in most proposed iterative algorithms is based only on the application of the space-variant smoothing operator. It is found that these adaptive algorithms suffer from insufficient smoothing of the flat image regions. In this paper, an adaptive iterative image restoration algorithm, which applies both techniques of space-variant smoothing and space-variant restoration, is proposed to overcome the stated problem. It is shown by experiments that the restored images obtained by the proposed algorithm are better in terms of both numerical measurement and visual quality.

AB - It has been shown in the literature that adaptive regularized image restoration is superior to the non-adaptive case. However, the adaptivity introduced in most proposed iterative algorithms is based only on the application of the space-variant smoothing operator. It is found that these adaptive algorithms suffer from insufficient smoothing of the flat image regions. In this paper, an adaptive iterative image restoration algorithm, which applies both techniques of space-variant smoothing and space-variant restoration, is proposed to overcome the stated problem. It is shown by experiments that the restored images obtained by the proposed algorithm are better in terms of both numerical measurement and visual quality.

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JO - Proceedings - International Conference on Image Processing, ICIP

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M1 - 413655

T2 - Proceedings of the 1994 1st IEEE International Conference on Image Processing. Part 3 (of 3)

Y2 - 13 November 1994 through 16 November 1994

ER -

New adaptive iterative image restoration algorithm

Abstract

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