Invention Grant
- Patent Title: Systems and methods for training a non-blind image deblurring module
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Application No.: US16806135Application Date: 2020-03-02
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Publication No.: US11354784B2Publication Date: 2022-06-07
- Inventor: Michael Slutsky
- Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
- Applicant Address: US MI Detroit
- Assignee: GM GLOBAL TECHNOLOGY OPERATIONS LLC
- Current Assignee: GM GLOBAL TECHNOLOGY OPERATIONS LLC
- Current Assignee Address: US MI Detroit
- Agency: Lorenz & Kopf LLP
- Main IPC: G06T5/00
- IPC: G06T5/00 ; G06N3/08 ; B60R1/00 ; G06K9/62

Abstract:
Methods and systems for training a non-blind deblurring module are disclosed. Unblurred test images and blurred test images are received, wherein each of the blurred test images is related to a corresponding one of the unblurred test images by a blur kernel term and a noise term. A regularized deconvolution sub-module and a convolutional neural network are jointly trained by adjusting a regularization parameter of a regularized deconvolution function and weights of a convolution neural network in order to minimize a cost function representative of a difference between each deblurred output image and a corresponding one of the unblurred test images.
Public/Granted literature
- US20210272248A1 SYSTEMS AND METHODS FOR TRAINING A NON-BLIND IMAGE DEBLURRING MODULE Public/Granted day:2021-09-02
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