| Project Details | |
| Project Code | JWA137 |
| Title | Image Morphing and Masking - Java Project |
| Project Type | Java Application |
| Front End | Net Beans |
| Back End | Nil |
| Project Cost |  |
ABSTRACT
In this project, 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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