DocumentCode
1325513
Title
Properties and performance of a center/surround retinex
Author
Jobson, Daniel J. ; Rahman, Zia-ur ; Woodell, Glenn A.
Author_Institution
NASA Langley Res. Center, Hampton, VA, USA
Volume
6
Issue
3
fYear
1997
fDate
3/1/1997 12:00:00 AM
Firstpage
451
Lastpage
462
Abstract
The last version of Land´s (1986) retinex model for human vision´s lightness and color constancy has been implemented and tested in image processing experiments. Previous research has established the mathematical foundations of Land´s retinex but has not subjected his lightness theory to extensive image processing experiments. We have sought to define a practical implementation of the retinex without particular concern for its validity as a model for human lightness and color perception. We describe the trade-off between rendition and dynamic range compression that is governed by the surround space constant. Further, unlike previous results, we find that the placement of the logarithmic function is important and produces best results when placed after the surround formation. Also unlike previous results, we find the best rendition for a “canonical” gain/offset applied after the retinex operation. Various functional forms for the retinex surround are evaluated, and a Gaussian form is found to perform better than the inverse square suggested by Land. Images that violate the gray world assumptions (implicit to this retinex) are investigated to provide insight into cases where this retinex fails to produce a good rendition
Keywords
Gaussian processes; colour vision; data compression; eye; image colour analysis; visual perception; Gaussian form; Land´s retinex model; canonical gain/offset; center/surround retinex; dynamic range compression; gray world assumptions; human color constancy; human color perception; human vision lightness; image processing experiments; inverse square; lightness theory; logarithmic function; rendition; surround formation; surround space constant; Analog computers; Color; Dynamic range; Humans; Image coding; Image processing; Layout; Machine vision; NASA; Very large scale integration;
fLanguage
English
Journal_Title
Image Processing, IEEE Transactions on
Publisher
ieee
ISSN
1057-7149
Type
jour
DOI
10.1109/83.557356
Filename
557356
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