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Gradient domain high dynamic range compression
Author(s) -
Raanan Fattal,
Dani Lischinski,
Michael Werman
Publication year - 2002
Publication title -
citeseer x (the pennsylvania state university)
Language(s) - English
Resource type - Conference proceedings
ISSN - 0730-0301
ISBN - 1-58113-521-1
DOI - 10.1145/566570.566573
Subject(s) - high dynamic range , rendering (computer graphics) , computer science , luminance , dynamic range , tone mapping , computer vision , range (aeronautics) , artificial intelligence , high dynamic range imaging , poisson's equation , algorithm , mathematics , mathematical analysis , materials science , composite material
We present a new method for rendering high dynamic range images on conventional displays. Our method is conceptually simple, computationally efficient, robust, and easy to use. We manipulate the gradient field of the luminance image by attenuating the magnitudes of large gradients. A new, low dynamic range image is then obtained by solving a Poisson equation on the modified gradient field. Our results demonstrate that the method is capable of drastic dynamic range compression, while preserving fine details and avoiding common artifacts, such as halos, gradient reversals, or loss of local contrast. The method is also able to significantly enhance ordinary images by bringing out detail in dark regions.

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