Image super resolution via spare representation of multi-class sequential and joint dictionaries
US9865036B1 · kind B1 · utility
10Cited by
2References
10Claims
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Key dates
| Filing date | Feb 5, 2015 |
| Grant date | Jan 9, 2018 |
| Priority date | — |
| Expiry date | Jun 26, 2035 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F18/23
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method of developing an image training library includes receiving, at a processor, a set of high resolution image samples at a first resolution, generating a set of low resolution image samples having a second resolution from the set of high resolution images, wherein the second resolution is lower than the first resolution, clustering the low resolution image samples using features in the low resolution images, generating a low resolution dictionary for each cluster, generating sparse coefficients for each sample, and using the sparse coefficients to generate a high resolution dictionary for each cluster.
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