Vague color image enhancement on fractional differential and improved retinex

Xin Zhang; Weixing Wang; Xiaojun Huang; Lingxiao Huang; Zhiwei Wang

doi:10.1117/12.2078025

8 February 2015 Vague color image enhancement on fractional differential and improved retinex

Xin Zhang, Weixing Wang, Xiaojun Huang, Lingxiao Huang, Zhiwei Wang

Author Affiliations +

Proceedings Volume 9395, Color Imaging XX: Displaying, Processing, Hardcopy, and Applications; 93950Q (2015) https://doi.org/10.1117/12.2078025
Event: SPIE/IS&T Electronic Imaging, 2015, San Francisco, California, United States

Abstract

Using aerial color images or remote sensing color images to obtain the earth surface information is an important way for gathering geographic information. In order to improve visibility in the poor quality weather for aerial color images, a changing scale Retinex algorithm based on fractional differential and depth map is proposed. After a new fractional differential operation, it requires the image dark channel prior treatment to obtain the estimated depth map. Then according to the depth map, Retinex scales are calculated in each part of the image. Finally the single scale Retinex transform is performed to obtain the enhanced image. Experimental results show that the studied algorithm can effectively improve the visibility of an aerial color image without halo phenomena and color variation which happens if using a similar ordinary algorithm. Compared with the He’s algorithm and others, the new algorithm has the faster speed and better image enhancement effect for the images that have greatly different scene depths.

Citation Download Citation

Xin Zhang, Weixing Wang, Xiaojun Huang, Lingxiao Huang, and Zhiwei Wang "Vague color image enhancement on fractional differential and improved retinex", Proc. SPIE 9395, Color Imaging XX: Displaying, Processing, Hardcopy, and Applications, 93950Q (8 February 2015); https://doi.org/10.1117/12.2078025

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KEYWORDS

Image enhancement

Visibility

Fiber optic gyroscopes

Visibility through fog

Evolutionary algorithms

Image processing

Roads

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