Premium
High‐resolution image reconstruction from rotated and translated low‐resolution images with multisensors
Author(s) -
Wen YouWei,
Ng Michael K.,
Ching WaiKi
Publication year - 2004
Publication title -
international journal of imaging systems and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.359
H-Index - 47
eISSN - 1098-1098
pISSN - 0899-9457
DOI - 10.1002/ima.20010
Subject(s) - image warping , bilinear interpolation , computer science , interpolation (computer graphics) , translation (biology) , computer vision , invariant (physics) , artificial intelligence , image (mathematics) , rotation (mathematics) , algorithm , bicubic interpolation , resolution (logic) , superresolution , image restoration , image processing , mathematics , multivariate interpolation , mathematical physics , biochemistry , chemistry , messenger rna , gene
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