Image dehazing method
US10504209B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 2, 2017 |
| Grant date | Dec 10, 2019 |
| Priority date | — |
| Expiry date | Apr 21, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30192
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Present invention provides a ranking convolutional neural network constructing method and an image processing method and apparatus thereof. The ranking convolutional neural network includes a ranking layer that is configured to sort an output of a previous layer of the ranking layer, generate an output of the ranking layer according to the sorted output, and output the output of the ranking layer to a next layer of the ranking layer. Using the ranking convolutional neural network enables obtaining an output feature corresponding to the input feature image through automatic learning. Compared with prior art methods that obtain features through manual calculation, the method of the present invention is superior in terms of reflecting the objective laws contained by the patterns of the actual scene. When applied to the field of image processing, the method can significantly improve the effect of image processing.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.