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- W2029990577 abstract "Although many image restoration methods have been proposed recently, they do not result in a good reconstructed image when the missing region is large or contains lines and edges, because the direction of lines is not easy to predict. This paper proposes a line prediction method to predict the lines and edges in the missing regions. Furthermore, gray levels of pixels are usually smooth in images. Thus, smooth gray-level detection is proposed to restore the missing regions using the surrounded existing regions according to the smoothness of pixels in the image. Therefore, this paper proposes a novel image restoration method based on smooth gray-level detection, and a line prediction method. Experimental results reveal that the proposed method outperforms other methods." @default.
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- W2029990577 date "2012-04-01" @default.
- W2029990577 modified "2023-09-23" @default.
- W2029990577 title "IMAGE RESTORATION BASED ON SMOOTH GRAY-LEVEL DETECTION AND LINE PREDICTION METHOD FOR LARGE MISSING REGIONS" @default.
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- W2029990577 doi "https://doi.org/10.1142/s0219467812500131" @default.
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