Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Image Inpainting Based on a Novel Criminisi Algorithm   In view of the problem of image inpainting error continuation and the
deviation of finding best match block, an improved Criminisi algorithm is
proposed. The improvement was mainly embodied in two aspects. In the repairing
order aspect, we redefine the calculation formula of the priority. In order to
solve the problem of error continuation caused by local confidence item
updating, the mean value of Manhattan distance is used for replace the
confidence item. In the matching strategy aspect, finding the best match block
not only depend on the difference of the two pixels, but also consider the
matching region. Therefore, Euclidean distance is introduced. Experiments
confirm that the improved algorithm can overcome the insufficiencies of the
original algorithm. The repairing effect has been improved, and the results
have a better visual appearance.

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The categories of this paper are: astro-ph
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The categories of this paper are: funct-an
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The categories of this paper are: math-ph
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The categories of this paper are: chao-dyn
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The categories of this paper are: q-fin
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The categories of this paper are: cond-mat
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The categories of this paper are: hep-lat
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The categories of this paper are: acc-phys
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The categories of this paper are: hep-th
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The categories of this paper are: physics
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The categories of this paper are: hep-ph
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The categories of this paper are: hep-ex
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The categories of this paper are: quant-ph
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The categories of this paper are: patt-sol
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The categories of this paper are: solv-int
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The categories of this paper are: q-bio