Name
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. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/ICPR.2014.160 | ICPR |
Keywords | Field | DocType |
optimisation,optimal seam synthesis,e step,expectation-maximisation algorithm,global discrete optimization problem,image matching,restoration and filtering,global exemplar-based image completion method,image blurring,enhancement,image and video processing,expectation-maximization like algorithm,global energy function,global patch matching,enhancement, restoration and filtering, signal, image and video processing, texture and color analysis,texture and color analysis,m step,signal | Computer vision,Feature detection (computer vision),Image texture,Computer science,Artificial intelligence,Image restoration,Discrete optimization problem | Conference |
ISSN | Citations | PageRank |
1051-4651 | 1 | 0.35 |
References | Authors | |
17 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shiming Ge | 1 | 106 | 24.60 |
| Kaixuan Xie | 2 | 6 | 1.80 |
| Rui Yang | 3 | 9 | 2.20 |
| Zhiqiang Shi | 4 | 1 | 0.35 |