Retinex Image Processing--Publications--SPIE 4662, San Jose,
California, April 2002.
Conference
Retinex Processing for Automatic Image Enhancement
Abstract
In the last published concept (1986) for a Retinex computation, Edwin
Land introduced a center/surround spatial form, which was inspired by
the receptive field structures of neurophysiology. With this as our
starting point we have over the years developed this concept into a full
scale automatic image enhancement algorithm---the Multi-Scale Retinex
with Color Restoration (MSRCR) which combines color constancy with
local contrast/lightness enhancement to transform digital images into
renditions that approach the realism of direct scene observation. The
MSRCR algorithm has proven to be quite general purpose, and very
resilient to common forms of image pre-processing such as reasonable
ranges of gamma and contrast stretch transformations. More recently we have
been exploring the fundamental scientific implications of this form of image
processing, namely: (i) the visual inadequacy of the linear representation
of digital images, (ii) the existence of a canonical or statistical ideal
visual image, and (iii) new measures of visual quality based upon these
insights derived from our extensive experience with MSRCR enhanced
images. The lattermost serves as the basis for future schemes for
automating visual assessment---a primitive first step in bringing visual
intelligence to computers.
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