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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Zuofeng Zhou Guoliang Fan |
| Copyright Year | 2013 |
| Description | Author affiliation: Sch. of Electr. & Comput. Eng., Oklahoma State Univ., Stillwater, OK, USA (Guoliang Fan) || Xi'an Opt. & Precision Mech., Xi'an, China (Zuofeng Zhou) |
| Abstract | We present a directional shock diffusion approach to single image super-resolution(SR) that is featured by two special treatments to image primitives including edges, corners and junctions. The first is to incorporate an adaptively weighted shock filter to recover the edge sharpness along with the structure-sensitive diffusion terms, and the second is to perform structure oriented diffusion that aims to preserve smooth boundary contours and sharp corners by using multiple orientation estimation. Experimental results show that proposed approach outperforms recent methods for both noiseless and noisy cases on several commonly used image databases. |
| Starting Page | 844 |
| Ending Page | 848 |
| File Size | 653918 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781479923410 |
| DOI | 10.1109/ICIP.2013.6738174 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-09-15 |
| Publisher Place | Australia |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Image edge detection PSNR Noise level Electric shock Estimation Image resolution directional diffusion Partial differential equation (PDE) noisy image SR multiple orientation estimation |
| Content Type | Text |
| Resource Type | Article |
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