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Deep Richardson-Lucy Deconvolution

Title
Deep Richardson-Lucy Deconvolution
Authors
Janghun Jo
DGIST Authors
Jo, Janghun; Cho, Sunghyun; Chwa, Hoon Sung
Advisor(s)
좌훈승
Co-Advisor(s)
Sunghyun Cho
Issue Date
2020
Available Date
2020-06-23
Degree Date
2020-02
Type
Thesis
Description
image processing, deblurring, deep learning
Table Of Contents
I. Introduction 1 II. Background 4 2.1. Non-blind Image Deblurring 4 2.2. Richardson-Lucy Deconvolution 5 III. Related Work 6 3.1. Non-uniform blur. 6 IV. Methods 8 4.1. Parameterizing Richardson-Lucy Deconvolution 8 4.2. Deep Richardson-Lucy Deconvolution 9 4.3. Feature Scaling 11 4.4. Non-uniform Deblurring 11 4.5. Handling Boundary Artifact 13 4.6. Training 14 4.7. Dataset 14 4.8. Implementation 15 V. Experiments 17 5.1. Uniform Deblurring 17 5.2. Non-uniform Deblurring 20 5.3. Evaluation on Poisson noise 22 VI. Conclusion 24 References 25
URI
http://dgist.dcollection.net/common/orgView/200000283399
http://hdl.handle.net/20.500.11750/12021
DOI
10.22677/Theses.200000283399
Degree
Master
Department
Information and Communication Engineering
University
DGIST
Related Researcher
  • Author Chwa, Hoon Sung Real-Time Computing Lab
  • Research Interests Real-Time Systems; Real-Time AI Services; Cyber-Physical Systems; Mobile Systems
Files:
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Collection:
Department of Information and Communication EngineeringThesesMaster


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