Invention Grant
- Patent Title: Method and architecture for blind image deconvolution
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Application No.: US17241379Application Date: 2021-04-27
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Publication No.: US11748853B2Publication Date: 2023-09-05
- Inventor: Marios Savvides , Raied Aljadaany , Dipan Kumar Pal
- Applicant: CARNEGIE MELLON UNIVERSITY
- Applicant Address: US PA Pittsburgh
- Assignee: Carnegie Mellon University
- Current Assignee: Carnegie Mellon University
- Current Assignee Address: US PA Pittsburgh
- Agency: KDW Firm PLLC
- Main IPC: G06T5/00
- IPC: G06T5/00 ; G06T5/50 ; G06T11/00 ; G06T1/20

Abstract:
Disclosed herein is a method for performing blind deconvolutions of blurred images. The method approximates the proximal operators for the data fidelity term and the prior term of a minimization function using trained neural networks and solves the minimization using iterations of the Douglas-Rachford algorithm.
Public/Granted literature
- US20210334939A1 METHOD AND ARCHITECTURE FOR BLIND IMAGE DECONVOLUTION Public/Granted day:2021-10-28
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