Name
Abstract | ||
|---|---|---|
In this paper we propose a technique that reconstructs high-resolution images with improved super-resolution algorithms, based on Irani and Peleg iterative method, and employs our suggested initial interpolation, robust image registration, automatic image selection and image enhancement post-processing. When the target of reconstruction is a moving object with respect to a stationary camera, high-resolution images can still be reconstructed, whereas previous systems only work well when we move the camera and the displacement of the whole scene is the same. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1142/S0218001404003848 | INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE |
Keywords | Field | DocType |
image restoration, image enhancement, super resolution, image registration, interpolation, image selection | Iterative reconstruction,Computer vision,Pattern recognition,Binary image,Image processing,Image quality,Artificial intelligence,Image restoration,Digital image processing,Image resolution,Mathematics,Homography (computer vision) | Journal |
Volume | Issue | ISSN |
18 | 8 | 0218-0014 |
Citations | PageRank | References |
1 | 0.37 | 3 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chien-Yu Chen | 1 | 367 | 29.24 |
| Yu-chuan Kuo | 2 | 21 | 3.10 |
| Chiou-Shann Fuh | 3 | 647 | 56.08 |