Underwater Image Restoration Based on Color Correction and Red Channel Prior
Guanying Huo, Ziyin Wu, Jiabiao Li · 2018
Mainly due to light absorption and scattering, underwater images usually suffer from low contrast, blur and color cast. An underwater image restoration method based on color correction and Red Channel prior is proposed in this paper. Firstly, the Retinex algorithm is adopted to eliminate the uneven illumination. Secondly, the image is compensated based on the underwater attenuation imaging model. The color of the light source is estimated and eliminated to achieve color correction. Finally, the Red Channel prior method is used for image deblurring. Compared with other methods, experimental results demonstrate that the proposed method can effectively eliminate the unevenness of illumination and color distortion, and improve the clarity and contrast, while removing the blur of the underwater color image.