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Design of a tone mapping operator for high-dynamic range images based upon psychophysical evaluation and preference mapping
Author(s) -
Frédéric Drago,
William L. Martens,
Karol Myszkowski,
Norishige Chiba
Publication year - 2003
Publication title -
proceedings of spie, the international society for optical engineering/proceedings of spie
Language(s) - English
Resource type - Conference proceedings
SCImago Journal Rank - 0.192
H-Index - 176
eISSN - 1996-756X
pISSN - 0277-786X
DOI - 10.1117/12.473919
Subject(s) - tone mapping , computer science , artificial intelligence , computer vision , contrast (vision) , color constancy , high dynamic range , luminance , brightness , tone (literature) , dynamic range , perception , range (aeronautics) , point (geometry) , image (mathematics) , mathematics , engineering , art , physics , literature , optics , geometry , neuroscience , biology , aerospace engineering
A tone mapping,algorithm for displaying high contrast scenes was designed on the basis of the results of experimental tests using human,subjects. Systematic perceptual evaluation of several existing tone mapping,techniques revealed that the most “natural” appearance was determined by the presence in the output image of detailed scenery features often made,visible by limiting contrast and by properly reproducing brightness. Taking these results into account, we developed a system to produce images close to the ideal preference point for high dynamic,range input image data. Of the algorithms that we tested, only the Retinex algorithm was capable of retrieving detailed scene features hidden in high luminance areas while still preserving a good contrast level. This paper presents changes made to Retinex algorithm for processing high dynamic range images, and a further integration of the Retinex with specialized tone mapping algorithms that enables the production of images that appear as similar as possible to the viewer’s perception of actual scenes. Keywords: Tone Mapping, Retinex, High Dynamic Range Images

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