- Category:
- Special Effects
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- File Size:
- 671kb
- Update:
- 2014-03-22
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- Uploaded by:
- 孙红娟
Description: Image inpainting is to fill the missing data in corrupted images and thus to reduce
the information loss of damaged image. Traditional inpainting algorithms are dependent on specific
structure of target images compressive sensing theory makes is possible to realized image
inpainting with signal sparsity. This paper proposes a novel inpainting algorithm based on KSVD
and MCA algorithm, which first decomposes the image into texture part and structure part, and
then trains the two dictionaries for these two parts with KSVD and reconstructs the original image
with these two trained dictionaries. Experiment indicates that the proposed algorithm is of better
adaptability and performance as compared with traditional algorithms.
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