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An improvement approach for pixel-based illumination estimation algorithms
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Paper Abstract

Illumination estimation algorithms are aimed to estimate the RGB of scene illumination color when the image was taken, which is a significant way to achieve color constancy. They can be divided into three categories: pixel-based algorithms, learning-based algorithms and combination algorithms. Compared with other two kinds of illumination estimation algorithms, pixel-based algorithms are relatively poorly performing. In this paper, we add a L0-norm smoothing preprocessing to pixel-based algorithms to improve the performance. The L0-norm smoothing can suppress insignificant details and maintain major edges of an image. Experimental results show that our optimization approach is effective to enhance the performance of pixel-based algorithms.

Paper Details

Date Published: 17 April 2019
PDF: 8 pages
Proc. SPIE 11071, Tenth International Conference on Signal Processing Systems, 110710J (17 April 2019); doi: 10.1117/12.2520825
Show Author Affiliations
Chunxiao Li, Beijing Forestry Univ. (China)
Key Lab. of State Forestry Administration on Forestry Equipment and Automation (China)
Jiangming Kan, Beijing Forestry Univ. (China)
Key Lab. of State Forestry Administration on Forestry Equipment and Automation (China)


Published in SPIE Proceedings Vol. 11071:
Tenth International Conference on Signal Processing Systems
Kezhi Mao; Xudong Jiang, Editor(s)

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