液晶与显示2024，Vol.39Issue(8)：1070-1078,9.DOI:10.37188/CJLCD.2023-0289
用于眼底视网膜图像的去雾状杂散光算法
Dehazing stray light algorithm for fundus retinal image
摘要
Abstract
This paper addresses the issue of hazy stray light in fundus retinal images,which leads to unclear blood vessel details.The proposed dehazing algorithm for fundus retinal images is based on the dark channel theory and incorporates Gamma transformation.The algorithm enhances the clarity of the image while preserving blood vessel information.This algorithm aims to defog images by processing the R,G and B channels separately.Firstly,the algorithm calculates the dark channel image using adaptive window minimum filtering and takes the average value of the top 0.1%pixels as the atmospheric illumination intensity value.Secondly,the algorithm solves the rough transmittance of the image and improves it using the guided filtering algorithm.Finally,the algorithm restores the haze-free image using the atmospheric scattering model and applies Gamma transformation.The experimental results show that the information entropy and average gradient of the restored image increase by an average of about 6.8%and 11.6%,respectively.The algorithm in this paper can quickly and effectively remove hazy stray light in the fundus retinal image,restore the image to be clear and natural,and retain the details information of retinal blood vessels.关键词
图像去雾/视网膜图像/暗通道先验/大气散射模型/Gamma变换Key words
image dehazing/retinal image/dark channel prior/atmospheric scattering model/gamma correction分类
信息技术与安全科学引用本文复制引用
盖俊帅,马玉婷,张运海,杨皓旻,刘玉龙,肖昀,魏通达..用于眼底视网膜图像的去雾状杂散光算法[J].液晶与显示,2024,39(8):1070-1078,9.基金项目
山东省自然科学基金(No.ZR2020QF103) （No.ZR2020QF103）
苏州市临床重点病种诊疗技术专项(No.LCZX202105) （No.LCZX202105）
核医科技创新计划(No.ZHYLZD2021001) （No.ZHYLZD2021001）
中国宝原科研基金(No.270001) （No.270001）
中国科学院青年创新促进会项目(No.2020323)Supported by Provincial Natural Science Foundation of Shandong Province(No.ZR2020QF103) （No.2020323）
Suzhou Clinical Key Disease Diagnosis and Treatment Technology Special Project(No.LCZX202105) （No.LCZX202105）
Nuclear Medicine Science and Technology Innovation Program(No.ZHYLZD2021001) （No.ZHYLZD2021001）
China Baoyuan Scientific Research Fund(No.270001) （No.270001）
Youth Innovation Promotion Association(No.2020323) （No.2020323）
