基于改进高斯滤波算法的图像去噪方法  

Image Denoising Method Based on Improved Gaussian Filter Algorithm

作　　者：吴林林[1] WU Linlin(Anhui Technical College of Mechanical and Electrical Engineering,Wuhu Anhui 241002,China)

机构地区：[1]安徽机电职业技术学院,安徽芜湖241002

出　　处：《佳木斯大学学报（自然科学版）》2024年第6期33-36,共4页Journal of Jiamusi University：Natural Science Edition

基　　金：计算机应用技术专业教学团队(2021jxtd066)。

摘　　要：随着激光技术在光学测量和精密加工等领域的应用日益广泛,对图像的质量要求也越来越高。然而,在实际应用中,图像常常受到散斑噪声的影响,导致图像质量下降。现有方法由于采取的平滑技术较为简单,对于散斑噪声的抑制能力有限,为此,设计基于改进高斯滤波算法的图像去噪方法。测试结果表明,设计方法展现出了优秀噪声抑制性能,保留了图像的主要特征。With the wide application of technology in the fields of optical measurement and precision machining,the quality requirements of images are getting higher and higher.However,in practical applications,images are often affected by speckle noise,resulting in degraded image quality.Due to the simple smoothing technology adopted by the existing methods,the suppression ability of speckle noise is limited.Therefore,a image denoising method based on improved Gaussian filter algorithm is designed.The test results show that the design method exhibits excellent noise suppression performance and retains the main features of the image.

关 键 词：灰度变换增强 切线方位 改进高斯滤波算法 图像处理 

分 类 号：TN021.4[电子电信—物理电子学]