Study of Image Inpainting Method Based on Bayesian Compressive Sensing

Hong She Dang; Na Zhang; Chu Jia Guo

doi:10.4028/www.scientific.net/AMM.644-650.4447

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 644-650Study of Image Inpainting Method Based on Bayesian...

Study of Image Inpainting Method Based on Bayesian Compressive Sensing

Abstract:

To the question that traditional image inpainting methods depend on the structure characteristics of the image .The image inpainting method, on the basis of Bayesian compressive sensing, transforms the sparsity of the damaged image first, then gets the posterior distribution function of the sparse coefficient through Bayesian compressive sensing. At last, the mean and the variance of the distribution function are obtained. The mean can be used as the estimation of the sparse coefficient of the image, and the variance is the estimation of the noise. The emulation results proved that this method can improve the inpainting quality of images.

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Periodical:

Applied Mechanics and Materials (Volumes 644-650)

Pages:

4447-4451

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.644-650.4447

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Online since:

September 2014

Authors:

Hong She Dang*, Na Zhang, Chu Jia Guo

Keywords:

Bayesian Compressive Sensing, Image Inpainting, Posterior Distribution Function

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* - Corresponding Author

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