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Image Super-Resolution Reconstruction Using Image Registration and Error-Amended Sharp Edge Interpolation
| Content Provider | Semantic Scholar |
|---|---|
| Author | Chien, Y. P. Leou, Jin-Jang Chen, Hsuan-Ying |
| Copyright Year | 2011 |
| Abstract | In this study, an image super-resolution (SR) reconstruction approach using image registration and erroramended sharp edge (EASE) interpolation is proposed. The proposed image SR reconstruction approach contains five stages, namely, noise smoothing by Gaussian filtering, image edge map extraction using Canny edge detection, high-resolution grid generation using image registration, EASE interpolation, and blocking artifact reduction by image restoration. Based on the experimental results obtained in this study, both the subjective visual quality and the objective PSNR values of the proposed approach are better than those of the three comparison approaches. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.apsipa.org/proceedings_2011/pdf/APSIPA037.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |