Name
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. (c) The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1117/1.JEI.22.2.023006 | JOURNAL OF ELECTRONIC IMAGING |
Field | DocType | Volume |
Anisotropic diffusion,Computer vision,Color constancy,Computer science,Smoothing,Tone mapping,Artificial intelligence,Reflectivity,High dynamic range,High-dynamic-range imaging,Computation | Journal | 22 |
Issue | ISSN | Citations |
2 | 1017-9909 | 3 |
PageRank | References | Authors |
0.42 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shengdong Pan | 1 | 3 | 0.76 |
| Xiangjing An | 2 | 3 | 0.42 |
| Hangen He | 3 | 307 | 23.86 |