Digital diffraction method for single retinal image enhancement
Enhancing RGB retinal images is vital for retinopathy detection and monitoring,but issues like uneven intensity often degrade visual quality.This research introduces a digital diffraction-based method to improve uneven intensity and contrast while preserving color naturalness.Initially,the retinal image is con-verted to LCH color space,where intensity correction is applied to the L channel,treated as an optical field.A digital propagation with a specific kernel estimates the intensity pattern,which,when subtracted,yields a corrected L channel.Multi-image fusion with varied kernels then ensures uniform intensity.The same process corrects the C channel for color accuracy.Tested on 1 200 Messidor dataset images,this method surpasses Gamma correction and Retinex methods,enhancing contrast and uniformity by 3%-4%when combined with CLAHE.The improved contrast aids applications like retinopathy detection and blood vessel segmentation.
medical image processingretinal image enhancementcontrast enhancementdigital diffrac-tion
万方数据
维普
