System and method for image processing using automatically estimated tuning parameters
US10032256B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 18, 2016 |
| Grant date | Jul 24, 2018 |
| Priority date | — |
| Expiry date | Nov 18, 2036 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/20084
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Imaging processing techniques using a trained convolution neural network (CNN) are described. In one or more implementations, an image processing system and method are provided for applying an image processing algorithm to a dataset of training images to generate a plurality of performance curves, constructing a loss function based upon the plurality of performance curves, training a convolutional neural network (CNN) to optimize the loss function to establish a trained convolutional neural network, predicting a specific tuning parameter for an image of interest using the trained convolution neural network and performing image processing of the image of interest using the specific tuning parameter and the image processing algorithm to generate a processed image of interest.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.