Robust reconstruction of high resolution grayscale images from a sequence of low resolution frames
US7477802B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 16, 2006 |
| Grant date | Jan 13, 2009 |
| Priority date | — |
| Expiry date | Dec 8, 2026 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T3/4053
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A computer method of creating a super-resolved grayscale image from lower-resolution images using an L1 norm data fidelity penalty term to enforce similarities between low and a high-resolution image estimates is provided. A spatial penalty term encourages sharp edges in the high-resolution image, the data fidelity penalty term is applied to space invariant point spread function, translational, affine, projective and dense motion models including fusing the lower-resolution images, to estimate a blurred higher-resolution image and then a deblurred image. The data fidelity penalty term uses the L1 norm in a likelihood fidelity term for motion estimation errors. The spatial penalty term uses bilateral-TV regularization with an image having horizontal and vertical pixel-shift terms, and a scalar weight between 0 and 1. The penalty terms create an overall cost function having steepest descent optimization applied for minimization. Direct image operator effects replace matrices for speed and efficiency.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.