2010Journal of Yangtze UniversityRequires access

Process and Research on Restoration of Gaussian-burred Image

Qingqing Fu

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Abstract

Several classical image restoration algorithms are analyzed,in the case of known function of the image degradation,the Gaussian-blurred images are restored by using inverse filtering,wiener filtering,constrained least squares filtering algorithm,a wealth of empirical data on the parameter selection of the above algorithms was obtained.Matlab simulation results show that in high noise environment,the Wiener filtering has the better ability of suppressing noise,constrained least squares filtering has the best effect to remain the image details.

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What this paper is about

Several classical image restoration algorithms are analyzed,in the case of known function of the image degradation,the Gaussian-blurred images are restored by using inverse filtering,wiener filtering,constrained least squares filtering algorithm,a wealth of empirical data on the parameter selection of the above algorithms was obtained.Matlab simulation results show that in high noise environment,the Wiener filtering has the better ability of suppressing noise,constrained least squares filtering has the best effect to remain the image details.

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Available abstract

Several classical image restoration algorithms are analyzed,in the case of known function of the image degradation,the Gaussian-blurred images are restored by using inverse filtering,wiener filtering,constrained least squares filtering algorithm,a wealth of empirical data on the parameter selection of the above algorithms was obtained.Matlab simulation results show that in high noise environment,the Wiener filtering has the better ability of suppressing noise,constrained least squares filtering has the best effect to remain the image details.

Key concepts: Wiener filter, Image restoration, Gaussian noise, Noise (video), Image (mathematics), Wiener process, Algorithm, Computer science

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