29 January 2007 On the behavior of spatial models of color
Author Affiliations +
Proceedings Volume 6493, Color Imaging XII: Processing, Hardcopy, and Applications; 649302 (2007); doi: 10.1117/12.708905
Event: Electronic Imaging 2007, 2007, San Jose, CA, United States
Abstract
There is a growing family of algorithms that treat/modify/enhance color information in its visual context, also known as Spatial Color methods (e.g. Retinex or ACE). They produce results that, due to a changing spatial configuration, can have a non-unique relationship with the physical input. In authors' opinion judging their performance is a challenging task and is still an open problem. Two main variables affect the final result of these algorithms: their parameters and the visual characteristics of the image they process. The term visual characteristics refers not only to the image's digital pixel values, (e.g. calibration of pixel value, the measured dynamic range of the scene, the measured dynamic range of the digital image), but also to the spatial distribution of these digital pixel values in the image. This paper does not deal with tuning parameters, rather it discusses the visual configurations in which a Spatial Color methods show interesting, or critical behavior. A survey of the more significant Spatial Color configurations will be presented and discussed. These configurations include phenomena, such as color constancy and contrast. The discussion will present strengths and weaknesses of different algorithms, hopefully allowing a deeper understanding of their behavior and stimulating discussions about finding a common judging ground.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
A. Rizzi, J. J. McCann, "On the behavior of spatial models of color", Proc. SPIE 6493, Color Imaging XII: Processing, Hardcopy, and Applications, 649302 (29 January 2007); doi: 10.1117/12.708905; https://doi.org/10.1117/12.708905
PROCEEDINGS
14 PAGES


SHARE
KEYWORDS
Visualization

Image processing

Digital imaging

Image enhancement

Reflectivity

High dynamic range imaging

Human vision and color perception

RELATED CONTENT

YACCD2: yet another color constancy database updated
Proceedings of SPIE (February 04 2013)
High-dynamic-range scene compression in humans
Proceedings of SPIE (February 09 2006)

Back to Top