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Information-Adaptive Image Encoding and RestorationThe multiscale retinex with color restoration (MSRCR) has shown itself to be a very versatile automatic image enhancement algorithm that simultaneously provides dynamic range compression, color constancy, and color rendition. A number of algorithms exist that provide one or more of these features, but not all. In this paper we compare the performance of the MSRCR with techniques that are widely used for image enhancement. Specifically, we compare the MSRCR with color adjustment methods such as gamma correction and gain/offset application, histogram modification techniques such as histogram equalization and manual histogram adjustment, and other more powerful techniques such as homomorphic filtering and 'burning and dodging'. The comparison is carried out by testing the suite of image enhancement methods on a set of diverse images. We find that though some of these techniques work well for some of these images, only the MSRCR performs universally well oil the test set.
Document ID
19990005051
Acquisition Source
Langley Research Center
Document Type
Other
Authors
Park, Stephen K.
(College of William and Mary Williamsburg, VA United States)
Rahman, Zia-ur
(College of William and Mary Williamsburg, VA United States)
Date Acquired
September 6, 2013
Publication Date
October 19, 1998
Subject Category
Computer Programming And Software
Funding Number(s)
CONTRACT_GRANT: NAG1-1847
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
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