Invention Grant
- Patent Title: Label-free non-reference image quality assessment via deep neural network
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Application No.: US14931843Application Date: 2015-11-03
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Publication No.: US09734567B2Publication Date: 2017-08-15
- Inventor: Qiang Zhang , Zhengping Ji , Lilong Shi , Ilia Ovsiannikov
- Applicant: Samsung Electronics Co., Ltd.
- Applicant Address: KR
- Assignee: SAMSUNG ELECTRONICS CO., LTD.
- Current Assignee: SAMSUNG ELECTRONICS CO., LTD.
- Current Assignee Address: KR
- Agency: Renaissance IP Law Group LLP
- Main IPC: G06K9/62
- IPC: G06K9/62 ; G06T7/00 ; G06N3/08 ; G06N3/04
Abstract:
A method for training a neural network to perform assessments of image quality is provided. The method includes: inputting into the neural network at least one set of images, each set including an image and at least one degraded version of the image; performing comparative ranking of each image in the at least one set of images; and training the neural network with the ranking information. A neural network and image signal processing tuning system are disclosed.
Public/Granted literature
- US20160379352A1 LABEL-FREE NON-REFERENCE IMAGE QUALITY ASSESSMENT VIA DEEP NEURAL NETWORK Public/Granted day:2016-12-29
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