High-resolution image reconstruction from multiple low-resolution images.

Wei, Hong; Binnie, David

Abstract

In this paper, we demonstrate a digital signal processing (DSP) algorithm for improving spatial resolution of images captured by CMOS cameras. The basic approach is to reconstruct a high resolution (HR) image from a shift-related low resolution (LR) image sequence. The aliasing relationship of Fourier transforms between discrete and continuous images in the frequency domain is used for mapping LR images to a HR image. The method of projection onto convex sets (POCS) is applied to trace the best estimate of pixel matching from the LR images to the reconstructed HR image. Computer simulations and preliminary experimental results have shown that the algorithm works effectively on the application of post-image-captured processing for CMOS cameras. It can also be applied to HR digital image reconstruction, where shift information of the LR image sequence is known.

Citation

Wei, H., & Binnie, D. (1999, July). High-resolution image reconstruction from multiple low-resolution images. Presented at Seventh IEE Conference on Image Processing and Applications

• Conference Name: Seventh IEE Conference on Image Processing and Applications
• Acceptance Date: Sep 9, 1999
• Publication Date: 1999-07
• Deposit Date: Jun 10, 2016
• Peer Reviewed: Not Peer Reviewed
• Pages: 596-600
• ISBN: 0-85296-717-9
• DOI: https://doi.org/10.1049/cp%3A19990392
• Keywords: High resolution image; image processing
• Public URL: http://researchrepository.napier.ac.uk/id/eprint/10171