重庆工商大学学报（自然科学版）2024，Vol.41Issue(1)：30-37,8.DOI:10.16055/j.issn.1672-058X.2024.0001.004
基于主成分分析的光伏热斑红外图像混合噪声去噪方法
Denoising Method of Mixed Noise in Photovoltaic Hot Spot Infrared Images Based on Principal Component Analysis
摘要
Abstract
In order to solve the problem of difficult identification of hot spot areas due to the low resolution of infrared images affected by noise during hot spot detection of photovoltaic panels,an adaptive denoising method of mixed noise in infrared images based on principal component analysis was proposed.The method used adaptive window pre-processing algorithms to initially denoise the acquired hot spot infrared images,filtering out the low-density salt and pepper noise in the images and reducing the impact of the noise signal on the subsequent selection of the noise reduction training set.Then,principal component analysis based on block matching was used to reduce the dimensionality of the pre-processed image information to extract the main features of the signal and reduce the computational complexity in noise filtering.Finally,the image was denoised for the second time using the linear minimum mean square error estimation to filter out the residual noise.In addition,the image noise level was recalculated before the secondary denoising,so that the final denoised image obtained a better visual effect.The experimental results showed that this method effectively removed the mixed noise in the photovoltaic hot spot infrared image.The objective evaluation index showed that the structural similarity of the image was maintained at 0.9 when the noise was low.The peak signal-to-noise ratio of the image under the influence of high-density noise was increased by 2 dB on average compared with the modified Alpha mean filter algorithm.The image details were retained in the actual visual effect,and the hot spot area could be observed significantly.关键词
光伏热斑/红外图像/混合噪声/图像去噪/主成分分析Key words
photovoltaic hot spot/infrared image/mixed noise/image denoising/principal component analysis分类
信息技术与安全科学引用本文复制引用
蔺怡,欧阳名三,汪义鹏,丁希鹏..基于主成分分析的光伏热斑红外图像混合噪声去噪方法[J].重庆工商大学学报（自然科学版）,2024,41(1):30-37,8.基金项目
国家自然科学基金(51874010) （51874010）
安徽省重点研究与开发计划项目(202004A07020043). （202004A07020043）
