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.
关键词
医学图像处理/眼底图像增强/对比度增强/数字衍射
Key words
medical image processing/retinal image enhancement/contrast enhancement/digital diffrac-tion
维普
万方数据