Design of a tone mapping operator for high-dynamic range images based upon psychophysical evaluation and preference mapping

Frederic Drago; William L. Martens; Karol Myszkowski; Norishige Chiba

doi:10.1117/12.473919

17 June 2003 Design of a tone mapping operator for high-dynamic range images based upon psychophysical evaluation and preference mapping

Frederic Drago, William L. Martens, Karol Myszkowski, Norishige Chiba

Author Affiliations +

Proceedings Volume 5007, Human Vision and Electronic Imaging VIII; (2003) https://doi.org/10.1117/12.473919
Event: Electronic Imaging 2003, 2003, Santa Clara, CA, United States

Abstract

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.

Citation Download Citation

Frederic Drago, William L. Martens, Karol Myszkowski, and Norishige Chiba "Design of a tone mapping operator for high-dynamic range images based upon psychophysical evaluation and preference mapping", Proc. SPIE 5007, Human Vision and Electronic Imaging VIII, (17 June 2003); https://doi.org/10.1117/12.473919

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available