一种基于各向异性扩散方程的自适应去噪方法

计算机科学 ›› 2014, Vol. 41 ›› Issue (Z11): 133-135.

一种基于各向异性扩散方程的自适应去噪方法

赵川,马希荣,马岭,张桐

天津师范大学计算机与信息工程学院天津300387;天津师范大学计算机与信息工程学院天津300387;北京首都国际机场股份有限公司北京100621;天津师范大学计算机与信息工程学院天津300387

出版日期:2018-11-14 发布日期:2018-11-14
基金资助:
本文受天津师范大学实验室改革研究基金资助

Adaptive Denoising Method Based on Anisotropic Diffusion Equation

ZHAO Chuan,MA Xi-rong,MA Ling and ZHANG Tong

Online:2018-11-14 Published:2018-11-14

摘要/Abstract

摘要： 提出了一种基于各向异性扩散方程的图像自适应去噪方法。分析了各向异性扩散方程在图像除噪中的实现原理,将一种改进的图像结构相似度算法与各向异性扩散方程相结合,实现了对图像的自适应滤波。实验结果表明,改进的结构相似度算法在自适应滤波的应用中有一定的优越性和较好的鲁棒性。

关键词: 各向异性扩散,结构相似度,图像去噪

Abstract: An adaptive filtering method based on the anisotropic diffusion equation was proposed.The denoising principal of the anisotropic diffusion equation was studied.Adaptive filtering of image was realized by combining the improved image structural similarity algorithm and the anisotropic diffusion equation.Experiment results show that the improved structural similarity algorithm has good robustness and advantages in the application of adaptive filtering.

Key words: Anisotropic diffusion,Structural similarity,Image denoising

赵川,马希荣,马岭,张桐. 一种基于各向异性扩散方程的自适应去噪方法[J]. 计算机科学, 2014, 41(Z11): 133-135. https://doi.org/

ZHAO Chuan,MA Xi-rong,MA Ling and ZHANG Tong. Adaptive Denoising Method Based on Anisotropic Diffusion Equation[J]. Computer Science, 2014, 41(Z11): 133-135. https://doi.org/

参考文献

[1] Chan T F,Shen J.Image Processing and and Analysis:Variational,PDE,Wavelet,and Stochastic Methods[M].SIAM,2005
[2] Perona P,Malik J.Scale space and edge detection using anisotropic diffusion[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,1990,12(7):629
[3] Sapiro G.Geometric partial differential equations in image analysis:past,present,and future[J].International Conference on Image Processing,1995,3:1
[4] Mannos J L,Sakrison D J.The effects of a visual fidelity criterion on the encoding of images[J].IEEE Trans on Information Theeory,1974,20(4):525
[5] Wang Zhou,Bovik A C.A universal image quality index[J].IEEE Signal Processing Letters,2002,9:81
[6] Wang Zhou,Bovik A C,Sheikh H R,et al.Image quality assessment:from error visibility to structural similarity[J].IEEE Transactions on Image Processing,2004,13(4):600
[7] 叶盛楠,苏开那,肖创柏,等.基于结构信息提取的图像质量评价[J].电子学报,2008,36(5):856
[8] 杨春玲,旷开智,陈冠豪,等.基于梯度的结构相似度的图像质量评价方法[J].华南理工大学学报:自然科学版,2006,34(9):22

Metrics

Viewed

Full text

Abstract

Cited

Shared

Discussed