This article considers the problem of reconstructing a often obtained by using multiple identical image sensors shifted high-resolution image from multiple undersampled, shifted, degraded from each other by subpixel displacements [9,10]. The resulting frames with subpixel displacement errors. This l
High-resolution image reconstruction from rotated and translated low-resolution images with multisensors
✍ Scribed by You-Wei Wen; Michael K. Ng; Wai-Ki Ching
- Publisher
- John Wiley and Sons
- Year
- 2004
- Tongue
- English
- Weight
- 234 KB
- Volume
- 14
- Category
- Article
- ISSN
- 0899-9457
No coin nor oath required. For personal study only.
✦ Synopsis
Abstract
We extend the multisensor work by Bose and Boo (1998) and consider the perturbations of displacement error that are due to both translation and rotation. The warping process is introduced to obtain the ideal low‐resolution image, which is located at exactly horizontal and vertical shift. In this approach, the problem of high‐resolution image reconstruction is turned into the problem of image restoration, and the system becomes spatially invariant rather than spatially variant in the original problem. An efficient algorithm is presented. Experimental results show that the proposed methods are quite effective, and they perform better than the bilinear image interpolation method. © 2004 Wiley Periodicals, Inc. Int J Imaging Syst Technol 14, 75–83, 2004; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/ima.20010
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