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- W2078485867 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." @default.
- W2078485867 created "2016-06-24" @default.
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- W2078485867 date "2014-09-01" @default.
- W2078485867 modified "2023-09-24" @default.
- W2078485867 title "Study of Image Inpainting Method Based on Bayesian Compressive Sensing" @default.
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- W2078485867 doi "https://doi.org/10.4028/www.scientific.net/amm.644-650.4447" @default.
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