Priori constraint and outlier suppression based image deblurring method
US11263728B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 21, 2017 |
| Grant date | Mar 1, 2022 |
| Priority date | — |
| Expiry date | Dec 20, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/20056
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Provided is an a priori constraint and outlier suppression based image deblurring method. A convolution model is used for fitting a blurring process of a clear image and then the blurred image I is restored, so that the purpose of image deblurring is achieved. The method comprises an evaluation process of the significant structure of a blurred image, a process of blurring kernel estimation and outlier suppression, and a process of restoring the blurred image by non-blind deconvolution. A structure in the blurred image is obtained by use of L0 norm constraint and heavy-tailed a priori information. The L0 norm constraint is used to evaluate the blurring kernel. The evaluated blurring kernel is subjected to outlier suppression. The final restored image is obtained by using a non-blind deconvolution algorithm. The present invention can prominently improve the restoration level of the blurred image.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.