Enhancement MSRCR algorithm of color fog image based on the adaptive scale

Yin Gao; Lijun Yun; Junsheng Shi; Feiyan Chen; Liansha Lei

doi:10.1117/12.2064391

16 April 2014 Enhancement MSRCR algorithm of color fog image based on the adaptive scale

Yin Gao, Lijun Yun, Junsheng Shi, Feiyan Chen, Liansha Lei

Proceedings Volume 9159, Sixth International Conference on Digital Image Processing (ICDIP 2014); 91591B (2014) https://doi.org/10.1117/12.2064391
Event: Sixth International Conference on Digital Image Processing, 2014, Athens, Greece

Abstract

To deal with the image hue and saturation distortion problems in the traditional Retinex algorithm with color restoration coefficient, enhancement MSRCR algorithm of color fog image based on the adaptive scale is proposed. In the RGB color space, the color restoration coefficient is confirmed firstly. Then according to the each channel pixel values, the local weight correction function is introduced and the Gaussian kernel of the required scale is calculated. Doing local correction for the reflection component estimation and obtaining the multi-scale image by weighting. At last, the obtained image is used to contrast stretching and global Gamma correction in order to enhance the image. Through the subjective observation and objective evaluation, the algorithm is better than the traditional MSRCR algorithm in the overall and details.

Citation Download Citation

Yin Gao, Lijun Yun, Junsheng Shi, Feiyan Chen, and Liansha Lei "Enhancement MSRCR algorithm of color fog image based on the adaptive scale", Proc. SPIE 9159, Sixth International Conference on Digital Image Processing (ICDIP 2014), 91591B (16 April 2014); https://doi.org/10.1117/12.2064391

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