2015 Fiscal Year Final Research Report
Image super-resolution using similarity
| Project/Area Number |
25420383
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Communication/Network engineering
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| Research Institution | Keio University |
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Principal Investigator |
|
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| Project Period (FY) |
2013-04-01 – 2016-03-31
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| Keywords | 超解像 / 画像補間 |
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| Outline of Final Research Achievements |
In this research, we propose some fast and high performance super resolution methods from a single image. One method is based on the similarity of image. This makes a dictionary from random sampled patches from original and down-sampled images and apple L2 approximation to obtain a high resolution image. Another method is based on interpolation for high speed implementation. This utilize the bilateral weight of pixels in low resolution image as interpolation coefficient. With local interpolation coefficients, the high resolution images are obtained by applying direct interpolation of LR image. Through the simulations, the proposed methods are shown to be efficient for fast and high performance super resolution.
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| Free Research Field |
信号処理、画像処理
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