A new contrast enhancement method of retinal images in Diabetic Screening System

Abstract

A new retinal image contrast enhancement method for Diabetic Screening System is presented here. The proposed method evaluated by comparing the retinal image quality with different contrast enhancement methods which are applied in numerous papers. The proposed method produces better image quality and also preserves the mean brightness of the input images which is very important for medical image analysis. Publicly available datasets like DRIVE, STARE, DIARETDB0, and DIARETDB1 are used for testing purpose. The low contrast noisy retinal images are collected from the Hospital and performance of the proposed contrast enhancement is also measured. The SSIM (Structure Similarity Index Measurement) and AAMBE (Average Absolute Mean Brightness Error) are the important performance measurement parameters applied here to examine the image quality and brightness preserving ability respectively. The average SSIM is reported as 0.82(Std. Dev=0.011) and AAMBE is 0.023(Std. Dev=0.030). The success rate on low contrast noisy retinal image analysis is showing the importance of the proposed method.