Illumination estimation based on image characteristic

Chunxiao Li; Jiangming Kan

doi:10.1117/1.JEI.27.4.043003

5 July 2018 Illumination estimation based on image characteristic

Chunxiao Li, Jiangming Kan

Author Affiliations +

Journal of Electronic Imaging, Vol. 27, Issue 4, 043003 (July 2018). https://doi.org/10.1117/1.JEI.27.4.043003

Abstract

Illumination estimation is an important part of color constancy. It is known that estimating the scene illumination color is an ill-posed problem, and no method can be considered as universal. To select an optimal method for a particular image or scene, some combination methods based on characteristic similarity were proposed. These methods found that the images having similar characteristics can use the same method as an optimal technique. Although the combination methods based on image characteristics have worked well in some scenes, the accuracy of these methods is limited to the accuracy of the set of the unitary method. However, we assume that images with similar characteristics have similar scene illumination color and propose an illumination estimation method which is based on image characteristics. According to the characteristics of each image, we search K images whose characteristics are similar to the image from the image dataset, and the standard illumination color of the K selected images is known. Then, we use the weighted average method to estimate the new image’s illumination color by combining the standard illumination color of the K selected images. The experimental results show that the proposed method outperforms other state-of-the-art methods.

Citation Download Citation

Chunxiao Li and Jiangming Kan "Illumination estimation based on image characteristic," Journal of Electronic Imaging 27(4), 043003 (5 July 2018). https://doi.org/10.1117/1.JEI.27.4.043003

Received: 22 February 2018; Accepted: 13 June 2018; Published: 5 July 2018

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