基于颜色校正和去模糊的水下图像增强方法

由于光在水下传播时会出现吸收和散射的情况,水下图像往往存在色偏、对比度低、模糊、光照不均匀等问题.根据水下图像成像模型,人们在海底拍摄所获得的图像往往是退化的图像,而退化的图像不能完整地表达海洋场景信息,难以满足实际的应用需要.为此,文中提出了一种基于颜色校正和去模糊的水下图像增强方法.该方法有效融合了颜色校正和去模糊...

Underwater Image Enhancement Based on Color Correction and Deblurring

Due to the absorption and scattering of light when propagating underwater,underwater images often exhibit color shift,low contrast,blurry and uneven illumination.According to the imaging model of underwater image,many images from the seabed are often degraded severely,and these low-quality images cannot fully provide the ocean scene information,which is difficult to meet the practical application requirements.Therefore,this paper proposes an underwater image enhancement method based on color correction and deblurring.The proposed method effectively combines the two stages of both color correction and deblurring.During the color correction stage,the contrast of each original image is firstly stretched.After the contrast stretching is completed,some images may be overstretched or understretched.According to the gray world prior,after the contrast stretching,the gamma correction is further used to optimize and adjust the contrast and color of these images,so that the sum of the gray values from the R,G,and B channels of each image tends to be equal.Then,in the deblurring stage,it utilizes the dark channel prior to deblur the color-corrected image for the final enhanced image.Experimental results show that the proposed method has a good overall recovery effect,it can effectively restore image information,and obtain good enhancement performance in both subjective and objective evaluation.In addition,the proposed method can be used as a pre-processing step for computer vision tasks such as underwater image classification,and it can improve the classification accuracy of underwater image set by about 16%in our experiment.