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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

Date Published: 1 April 2013
PDF: 11 pages
J. Electron. Imag. 22(2) 023006 doi: 10.1117/1.JEI.22.2.023006
Published in: Journal of Electronic Imaging Volume 22, Issue 2
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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