%0 Journal Article %A XU Li %A LU Guiming %A QIU Zhenguang %T Adaptive Retinex Algorithm Based on Detail Selection Used in Underwater Image Enhancement %D 2022 %R 10.3778/j.issn.1002-8331.2009-0497 %J Computer Engineering and Applications %P 224-233 %V 58 %N 11 %X Aiming at the contradiction of color distortion and image detail enhancement when Retinex algorithm is applied to underwater image enhancement, the adaptive multi-scale Retinex underwater image enhancement algorithm combined with detail information is proposed in this paper. The selection requirements of the scale of convolution function in the enhancement of Retinex algorithm for underwater images containing different detail information are analyzed. Image gradient is used as the adjustment factor to adaptively adjust the weight of multi-scale Retinex operator, which is used to meet the requirements of underwater image with different detail information for contrast enhancement, and effectively alleviate the contradiction between color distortion and detail contrast enhancement in underwater image enhancement. Several groups of experiments show that the algorithm is superior to the traditional multi-scale(MSR) and multi-scale Retinex with color restoration(MSRCR) in removing the blue-green background of underwater image, avoiding color distortion, eliminating non-uniform illumination and image detail enhancement. %U http://cea.ceaj.org/EN/10.3778/j.issn.1002-8331.2009-0497