Using Color Correlation To Improve Restoration of Color Images

Daniel Keren; Anna Gotlib

doi:10.1016/B978-044482587-2/50132-4

Using Color Correlation To Improve Restoration of Color Images

Daniel Keren, Anna Gotlib

Department of Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

This chapter addresses the problem of restoration of images that have a few channels of information. The method that is suggested by the chapter is to use a probabilistic scheme which is useful for image restoration, and to incorporate an additional term into it, which results in a better correlation among the three color bands in the restored image. Initial results are good; typically, there is a reduction of 30% in the root mean square (RMS) error as compared to the standard restoration carried out separately on each color band.

Original language	English
Title of host publication	International Workshop on Image and Signal Processing
Editors	B.G. Mertzios , P. Liatsis
Pages	603-607
DOIs	https://doi.org/10.1016/B978-044482587-2/50132-4
State	Published - 1996

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title = "Using Color Correlation To Improve Restoration of Color Images",

abstract = "This chapter addresses the problem of restoration of images that have a few channels of information. The method that is suggested by the chapter is to use a probabilistic scheme which is useful for image restoration, and to incorporate an additional term into it, which results in a better correlation among the three color bands in the restored image. Initial results are good; typically, there is a reduction of 30% in the root mean square (RMS) error as compared to the standard restoration carried out separately on each color band.",

author = "Daniel Keren and Anna Gotlib",

year = "1996",

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language = "English",

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AU - Keren, Daniel

AU - Gotlib, Anna

PY - 1996

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N2 - This chapter addresses the problem of restoration of images that have a few channels of information. The method that is suggested by the chapter is to use a probabilistic scheme which is useful for image restoration, and to incorporate an additional term into it, which results in a better correlation among the three color bands in the restored image. Initial results are good; typically, there is a reduction of 30% in the root mean square (RMS) error as compared to the standard restoration carried out separately on each color band.

AB - This chapter addresses the problem of restoration of images that have a few channels of information. The method that is suggested by the chapter is to use a probabilistic scheme which is useful for image restoration, and to incorporate an additional term into it, which results in a better correlation among the three color bands in the restored image. Initial results are good; typically, there is a reduction of 30% in the root mean square (RMS) error as compared to the standard restoration carried out separately on each color band.

U2 - 10.1016/B978-044482587-2/50132-4

DO - 10.1016/B978-044482587-2/50132-4

M3 - Conference contribution

SP - 603

EP - 607

BT - International Workshop on Image and Signal Processing

A2 - , B.G. Mertzios

A2 - , P. Liatsis

ER -

Using Color Correlation To Improve Restoration of Color Images

Abstract

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