DocumentCode :
1289517
Title :
A multiscale retinex for bridging the gap between color images and the human observation of scenes
Author :
Jobson, Daniel J. ; Rahman, Zia-ur ; Woodell, Glenn A.
Author_Institution :
NASA Langley Res. Center, Hampton, VA, USA
Volume :
6
Issue :
7
fYear :
1997
fDate :
7/1/1997 12:00:00 AM
Firstpage :
965
Lastpage :
976
Abstract :
Direct observation and recorded color images of the same scenes are often strikingly different because human visual perception computes the conscious representation with vivid color and detail in shadows, and with resistance to spectral shifts in the scene illuminant. A computation for color images that approaches fidelity to scene observation must combine dynamic range compression, color consistency-a computational analog for human vision color constancy-and color and lightness tonal rendition. In this paper, we extend a previously designed single-scale center/surround retinex to a multiscale version that achieves simultaneous dynamic range compression/color consistency/lightness rendition. This extension fails to produce good color rendition for a class of images that contain violations of the gray-world assumption implicit to the theoretical foundation of the retinex. Therefore, we define a method of color restoration that corrects for this deficiency at the cost of a modest dilution in color consistency. Extensive testing of the multiscale retinex with color restoration on several test scenes and over a hundred images did not reveal any pathological behaviour
Keywords :
image colour analysis; image representation; image restoration; visual perception; color consistency; color images; color rendition; color representation; color restoration; computational analog; dynamic range compression; gray-world assumption; human observation; human vision color constancy; human visual perception; lightness tonal rendition; multiscale retinex; recorded color images; scene observation; shadows; single-scale center/surround retinex; spectral shifts; test scenes; testing; Analog computers; Color; Computer vision; Dynamic range; Humans; Image coding; Image restoration; Layout; Testing; Visual perception;
fLanguage :
English
Journal_Title :
Image Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1057-7149
Type :
jour
DOI :
10.1109/83.597272
Filename :
597272
Link To Document :
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