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Journal of Electronic Imaging • Open Access

Adapting iterative retinex computation for high-dynamic-range tone mapping
Author(s): Shengdong Pan; Xiangjing An; Hangen He

Paper Abstract

Retinex algorithms have been widely applied in many aspects of image processing. Based on the iterative Retinex algorithm, we propose an edge-preserving illumination estimation method. Inspired by the anisotropic diffusion, an edge-stopping function is introduced in the iterative computation. This modification enables the preservation of abrupt edges when computing the upper envelope of a given image. Based on the illumination-reflectance decomposition, a high-dynamic-range (HDR) radiance map can be easily tone-mapped to be a low-dynamic-range image by compressing the range of the estimated illumination. Artifacts are effectively suppressed using the proposed method. Meanwhile, we also propose a jumping-spiral iteration manner to improve the symmetry of the edge response. Experimental results show that the proposed tone mapping algorithm is very effective in reproducing HDR scenes, and has a better performance compared with some similar operators.

Paper Details

PDF: 11 pages
J. Electron. Imaging. 22(2) 023006 doi: 10.1117/1.JEI.22.2.023006
Published in: Journal of Electronic Imaging Volume 22, Issue 2, April 2013
Show Author Affiliations
Shengdong Pan, National Univ. of Defense Technology (China)
Xiangjing An, National Univ. of Defense Technology (China)
Hangen He, National Univ. of Defense Technology (China)

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