Enhancement algorithm of color fog image based on the brightness adjustment of interception function and adaptive scale

Li-jun Yun; Yin Gao; Junsheng Shi; Fei-yan Cheng

doi:10.1117/12.2071095

24 November 2014 Enhancement algorithm of color fog image based on the brightness adjustment of interception function and adaptive scale

Li-jun Yun, Yin Gao, Junsheng Shi, Fei-yan Cheng

Author Affiliations +

Proceedings Volume 9301, International Symposium on Optoelectronic Technology and Application 2014: Image Processing and Pattern Recognition; 930117 (2014) https://doi.org/10.1117/12.2071095
Event: International Symposium on Optoelectronic Technology and Application 2014, 2014, Beijing, China

Abstract

To deal with the hue, saturation and brightness problem in the traditional MSRCR fog image enhancement algorithms, Enhancement algorithm of color fog image based on the brightness adjustment of interception function and adaptive scale is proposed. First the image is transformed into the RGB color space. Then according to the each channel pixel values, the grayscale range is stretched by S-cosine curve and the local correction function is introduced. It can calculate the scale of the Gaussian kernel, and then proceeds to do the global correction for the estimates of the reflection component, obtains the multi-scale image by the weighted average. At last, being stretched by the interception function, adjusting the brightness and doing the Gamma correction, which is in order to achieve the image enhancement. Through the subjective observation and objective evaluation, this algorithm has better color fidelity than the traditional MSRCR algorithm in treatment effect.

Citation Download Citation

Li-jun Yun, Yin Gao, Junsheng Shi, and Fei-yan Cheng "Enhancement algorithm of color fog image based on the brightness adjustment of interception function and adaptive scale", Proc. SPIE 9301, International Symposium on Optoelectronic Technology and Application 2014: Image Processing and Pattern Recognition, 930117 (24 November 2014); https://doi.org/10.1117/12.2071095

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