Retinal fundus image plays an important role in the diagnosis of retinal related diseases. The detailed information of the retinal\nfundus image such as small vessels, microaneurysms, and exudates may be in low contrast, and retinal image enhancement\nusually gives help to analyze diseases related to retinal fundus image. Current image enhancement methods may lead to artificial\nboundaries, abrupt changes in color levels, and the loss of image detail. In order to avoid these side effects, a new retinal fundus\nimage enhancement method is proposed. First, the original retinal fundus image was processed by the normalized convolution\nalgorithm with a domain transform to obtain an image with the basic information of the background. Then, the image with the\nbasic information of the background was fused with the original retinal fundus image to obtain an enhanced fundus image. Lastly,\nthe fused image was denoised by a two-stage denoising method including the fourth order PDEs and the relaxed median filter.The\nretinal image databases, including the DRIVE database, the STARE database, and the DIARETDB1 database, were used to evaluate\nimage enhancement effects. The results show that the method can enhance the retinal fundus image prominently. And, different\nfrom some other fundus image enhancement methods, the proposed method can directly enhance color images.
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