Image restoration by regularisation in uncorrelated transform domain

S. O. Choy; Yuk Hee Chan; W. C. Siu

doi:10.1049/ip-vis:20000383

Image restoration by regularisation in uncorrelated transform domain

S. O. Choy, Yuk Hee Chan, W. C. Siu

The Hong Kong Polytechnic University

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

1 Citation (Scopus)

Abstract

Conventional spatially adaptive regularised image restoration schemes weight the amount of regularisation according to the spatial content of an image. The authors first separately decorrelate the signals under analysis into uncorrelated components and then weight the amount of regularisation performed to these components accordingly. The proposed approach works better than conventional schemes, especially in edge regions.

Original language	English
Pages (from-to)	587-594
Number of pages	8
Journal	IEE Proceedings: Vision, Image and Signal Processing
Volume	147
Issue number	6
DOIs	https://doi.org/10.1049/ip-vis:20000383
Publication status	Published - 1 Dec 2000

ASJC Scopus subject areas

Electrical and Electronic Engineering
Signal Processing

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10.1049/ip-vis:20000383

http://hdl.handle.net/10397/1533

Cite this

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title = "Image restoration by regularisation in uncorrelated transform domain",

abstract = "Conventional spatially adaptive regularised image restoration schemes weight the amount of regularisation according to the spatial content of an image. The authors first separately decorrelate the signals under analysis into uncorrelated components and then weight the amount of regularisation performed to these components accordingly. The proposed approach works better than conventional schemes, especially in edge regions.",

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AB - Conventional spatially adaptive regularised image restoration schemes weight the amount of regularisation according to the spatial content of an image. The authors first separately decorrelate the signals under analysis into uncorrelated components and then weight the amount of regularisation performed to these components accordingly. The proposed approach works better than conventional schemes, especially in edge regions.

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M3 - Journal article

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JO - IEE Proceedings: Vision, Image and Signal Processing

JF - IEE Proceedings: Vision, Image and Signal Processing

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Image restoration by regularisation in uncorrelated transform domain

Abstract

ASJC Scopus subject areas

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