Underwater image enhancement method based on color correction and improved contrast enhancement
The light absorption and scattering caused by the uneven distribution of underwater media lead to image color distortion,low contrast and blurred details,which seriously affects the robustness of front-end feature extraction and matching of ORB-SLAM2 algorithm,so an image processing method based on color correction and improved adaptive contrast enhancement is proposed.An improved color channel compensation and stretching method is utilized to remove color cast first,and then an improved adaptive contrast enhancement method is adopted to improve the brightness and contrast of the image.Finally,the color-corrected image and the contrast-enhanced image are fused in the HSV(hue,saturation,value)space.In addition,the proposed algorithm and other algorithms are evaluated objectively and subjectively,and the processed images are used for feature extraction and matching.The results show that the images processed by the proposed algorithm not only outperform the comparison algorithms in both objective and subjective evaluations,but also increase the number of matched feature points.To sum up,the proposed algorithm provides reference for underwater image processing.
万方数据
维普
