Invention Grant
- Patent Title: Method and system for estimating blur kernel size
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Application No.: US15709454Application Date: 2017-09-19
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Publication No.: US10311560B2Publication Date: 2019-06-04
- Inventor: Nong Sang , Lerenhan Li , Luxin Yan , Changxin Gao , Yuanjie Shao , Juncai Peng , Shiwei Zhang , Jin Wang
- Applicant: HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY
- Applicant Address: CN Wuhan
- Assignee: HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY
- Current Assignee: HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY
- Current Assignee Address: CN Wuhan
- Agency: Mathias Scholl P.C.
- Agent Matthias Scholl
- Priority: CN201610806072 20160907
- Main IPC: G06K9/40
- IPC: G06K9/40 ; G06T7/00 ; G06N3/02 ; G06F17/11 ; G06F17/18 ; G06T5/00 ; G06K9/46

Abstract:
A method for estimating a blur kernel size, the method including: (1) pre-processing a blurred image, to obtain an image, so that a size of the image satisfies an image input size of a multi-class convolutional neural network (CNN); (2) inputting the image into a multi-class CNN with completed training, to obtain a blur-kernel-size probability distribution vector; and (3) comparing each element in the blur-kernel-size probability distribution vector, so that an estimated blur kernel size of the blurred image is the blur kernel size corresponding to a largest element. The invention also provides a system for estimating a blur kernel size. The system includes an image pre-processing module, a training-set synthesizing module, a multi-class CNN module, and a blur kernel size estimation module.
Public/Granted literature
- US20180068430A1 METHOD AND SYSTEM FOR ESTIMATING BLUR KERNEL SIZE Public/Granted day:2018-03-08
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