软件导刊2023，Vol.22Issue(12)：200-208,9.DOI:10.11907/rjdk.222402
基于PCA降噪的改进型CLAHE算法
Improved CLAHE Algorithm Based on PCA Noise Reduction
摘要
Abstract
To address the difficulty in identifying detailed features of images captured by visible light imaging devices,a fuzzy cropping con-trast limited adaptive histogram equalization(ADFS-CLAHE-FC)image enhancement technique is proposed by combining principal compo-nent analysis and an improved anisotropic diffusion filter with two different methods to extract meaningful information from the image.Firstly,the image is denoised using PCA,and then the denoised image is enhanced using ADFS-CLAHE-FC.Finally,the noise of the image is fur-ther reduced based on ADFS-CLAHE-FC,maintaining contrast and brightness.Experiments have shown that this method enhances image contrast while eliminating image noise,resulting in better visual performance.Compared to histogram equalization(HE),contrast limited adaptive histogram equalization(CLAHE),and other methods,it performs better in improving image quality and preserving image details,which helps to improve the accuracy of image segmentation and extraction.关键词
图像增强/CLAHE/主成分分析/对比度增强/直方图均衡化Key words
image enhancement/CLAHE/principal component analysis/contrast enhancement/histogram equalization分类
信息技术与安全科学引用本文复制引用
张学典,王文明..基于PCA降噪的改进型CLAHE算法[J].软件导刊,2023,22(12):200-208,9.基金项目
国家重点研发计划项目(2021YFB2802300) （2021YFB2802300）
