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Elimination method for the influence of illumination on color image based on wavelet transform
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Paper Abstract

Compared with grayscale images, color images with color information have more advantages in target recognition, detection and tracking, but the color of the image can be easily affected to be distorted by light. Aiming at solving the problem of color distortion, a method based on wavelet transform is proposed to eliminate the influence of illumination. Firstly, the V-channel components in HSV space are decomposed by wavelet and the illumination component in the image scene is estimated by reconstructing the approximate coefficients of wavelet decomposition. Secondly, according to the imaging principle model, the illumination component is removed from the original image, and the reflection component that characterizes the color information is preserved. Finally, the normalized distribution function is used to normalize the reflection components, and the image color recovery is achieved in RGB space. The experimental results show that the proposed method can reduce the influence of non-uniform illumination on the image to restore the color and improve the image quality.

Paper Details

Date Published: 3 January 2020
PDF: 9 pages
Proc. SPIE 11373, Eleventh International Conference on Graphics and Image Processing (ICGIP 2019), 1137313 (3 January 2020); doi: 10.1117/12.2557213
Show Author Affiliations
Hongli Liu, Northeast Normal Univ. (China)
Yulu Hu, Northeast Normal Univ. (China)
Lianming Wang, Hainan Tropical Ocean Univ. (China)
Jipeng Huang, Northeast Normal Univ. (China)


Published in SPIE Proceedings Vol. 11373:
Eleventh International Conference on Graphics and Image Processing (ICGIP 2019)
Zhigeng Pan; Xun Wang, Editor(s)

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