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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Shiming Ge Kaixuan Xie Rui Yang Zhiqiang Shi |
| Copyright Year | 2014 |
| Description | Author affiliation: Beijing Key Lab. of IOT Inf. Security Technol., Inst. of Inf. Eng., Beijing, China (Shiming Ge; Kaixuan Xie; Rui Yang; Zhiqiang Shi) |
| Abstract | This paper presented a global exemplar-based image completion method for filling large missing or damaged regions in an image. Based on three proposed completion rules, the image completion problem is formulated as a global discrete optimization problem with a well-defined energy function. The energy function can evaluate image consistency globally and is minimized with an expectation-maximization (EM) like algorithm, which considers patch matching and patch synthesis in a unified way. In the algorithm, M step and E step are achieved by fast coherent searching and optimal seam synthesis respectively. Moreover, E step combines image patch synthesis and coherent correction simultaneously. We analyzed our global energy function and optimization method in theory. Simulation comparisons with other state-of-the-art methods show the superiority of our proposed method in ensuring global coherent and avoiding image blurring. |
| Starting Page | 871 |
| Ending Page | 876 |
| File Size | 315495 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781479952090 |
| ISSN | 10514651 |
| DOI | 10.1109/ICPR.2014.160 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-08-24 |
| Publisher Place | Sweden |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Image color analysis Coherence Maximum likelihood estimation Optimization methods Filling Image segmentation Texture and color analysis Enhancement restoration and filtering Signal image and video processing |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Vision and Pattern Recognition |
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