一种有效的图像降噪方法应用研究  

Research on an Effective Application of Image Denoising Method

作　　者：聂黎生[1] NIE Li-sheng(School of Wisdom Education,Jiangsu Normal University,Xuzhou 221116)

机构地区：[1]江苏师范大学智慧教育学院,徐州221116

出　　处：《现代计算机》2018年第21期34-37,共4页Modern Computer

基　　金：江苏师范大学科研基金项目(No.15XLB01)

摘　　要：针对图像对比度低、噪声污染严重、图像优化处理不足等问题,阐述直方图在图像降噪中的应用。分析偏微分方程算法用于图像降噪处理的优势,仿真实验表明,该算法能够有效保留边缘信息和细节纹理,图像的信噪比和相似度明显增强。Aiming at the problems of low contrast, serious noise pollution and insufficient image optimization, expounds the application of histogram in image denoising. Analyzes the advantages of Partial Differential Equation （PDE） algorithm for image denoising. The simulation results show that the algorithm can effectively preserve edge information and detail, and the Peak Signal to Noise Ratio （PSNR） and Structural Similarity Index Measurement （SSIM） are obviously enhanced.

关 键 词：偏微分方程 图像降噪 反差增强 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]