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Fast Query for Exemplar-Based Image Completion

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3 Author(s)
Kwok, Tsz-Ho ; Dept. of Mech. & Autom. Eng., Chinese Univ. of Hong Kong, Shatin, China ; Hoi Sheung ; Wang, Charlie C.L.

In this paper, we present a fast algorithm for filling unknown regions in an image using the strategy of exemplar-matching. Unlike the original exemplar-based method using exhaustive search, we decompose exemplars into the frequency coefficients and select fewer coefficients which are the most significant to evaluate the matching score. We have also developed a local gradient-based algorithm to fill the unknown pixels in a query image block. These two techniques bring the ability of input with varied dimensions to the fast query of similar image exemplars. The fast query is based upon a search-array data structure, and can be conducted very efficiently. Moreover, the evaluation of search-arrays runs in parallel maps well on the modern graphics hardware with graphics processing units (GPU). The functionality of the approach has been demonstrated by experimental results on real photographs.

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Image Processing, IEEE Transactions on  (Volume:19 ,  Issue: 12 )