摘要
为解决可见光成像设备采集的图像细节特征识别困难的问题,结合两种不同方法提出一种主成分分析和改进型的各向异性扩散滤波器的模糊裁剪对比度受限自适应直方图均衡化(ADFS-CLAHE-FC)图像增强技术,从图像中提取有意义的信息。首先通过PCA对图像进行降噪处理,然后利用ADFS-CLAHE-FC对降噪后的图像作增强处理,最后基于ADFS-CLAHE-FC进一步降低图片的噪声,保持对比度和亮度。实验表明,该方法在增强图像对比度的同时消除了图像噪声,在视觉上效果更好,相较于直方图均衡化(HE)、对比度受限自适应直方图均衡化(CLAHE)方法及其他方法在提升图像质量和保持图像细节方面性能更优,有助于提升图像分割和提取的准确性。
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.
作者
张学典
王文明
ZHANG Xuedian;WANG Wenming(School of Optical-Electrical and Computer Engineering,University of Shanghai for Science and Technology,Shanghai 200093,China)
出处
《软件导刊》
2023年第12期200-208,共9页
Software Guide
基金
国家重点研发计划项目(2021YFB2802300)。
关键词
图像增强
CLAHE
主成分分析
对比度增强
直方图均衡化
image enhancement
CLAHE
principal component analysis
contrast enhancement
histogram equalization
