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- W2382761620 abstract "To eleminate cumulative error during image inpainting in single scale,image inpainting robust algorithm based on multiscale MRF model exemplar is proposed.In terms of scale characteristics in image,the sequence maxim posterior probability criterion is applied to inpaint image and corresponding weight cost functions is used for matched sample in the different scale image.Image inpainting information in large scale is adopted to direct the inpainting process in the next more small scale and global and local image inpainting information is combined harmoniously.The experimental results are given,which show that the mosaicing effect and garbagewhich are propagated by cumulative error is suppressed more effectively and the more favourable textural and structural information is preserved." @default.
- W2382761620 created "2016-06-24" @default.
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- W2382761620 date "2012-01-01" @default.
- W2382761620 modified "2023-09-23" @default.
- W2382761620 title "Image inpainting robust algorithm based on multiscale MRF model exemplar" @default.
- W2382761620 hasPublicationYear "2012" @default.
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