Retinex Image Processing--Publications--IST Sixth Annual Color
Conference
Resiliency of the Multiscale Retinex Image Enhancement Algorithm
Techniques
Zia-ur Rahman, Daniel J. Jobson, and Glenn A. Woodell
Abstract
The multiscale retinex with color restoration (MSRCR) continues to prove
itself in extensive testing to be a very versatile automatic image
enhancement algorithm that simultaneously provides dynamic range
compression, color constancy, and color rendition. However, issues
remain with regard to the resiliency of the MSRCR to different image
sources and arbitrary image manipulations which may have been applied
prior to retinex processing. In this paper we define these areas of
concern, provide experimental results, and, examine the effects of
commonly occurring image manipulations on retinex performance. In
virtually all cases the MSRCR is highly resilient to the effects of both
the image-source variations and commonly encountered prior
image-processing. Significant artifacts are primarily observed for the
case of selective color channel clipping in large dark zones in an
image. These issues are of concern in the processing of digital image
archives and other applications where there is neither control over the
image acquisition process, nor knowledge about any processing done on
the data beforehand.
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