An improvement approach for pixel-based illumination estimation algorithms

Chunxiao Li; Jiangming Kan

doi:10.1117/12.2520825

17 April 2019 An improvement approach for pixel-based illumination estimation algorithms

Chunxiao Li, Jiangming Kan

Proceedings Volume 11071, Tenth International Conference on Signal Processing Systems; 110710J (2019) https://doi.org/10.1117/12.2520825
Event: Tenth International Conference on Signal Processing Systems, 2018, Singapore, Singapore

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.

Citation Download Citation

Chunxiao Li and Jiangming Kan "An improvement approach for pixel-based illumination estimation algorithms", Proc. SPIE 11071, Tenth International Conference on Signal Processing Systems, 110710J (17 April 2019); https://doi.org/10.1117/12.2520825

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KEYWORDS

Reflectivity

Neodymium

RGB color model

Optimization (mathematics)

Forestry

Statistical analysis

Image analysis

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