Deep Richardson-Lucy Deconvolution
- Title
- Deep Richardson-Lucy Deconvolution
- Author(s)
- Janghun Jo
- DGIST Authors
- Jo, Janghun ; Cho, Sunghyun ; Chwa, Hoon Sung
- Advisor
- 좌훈승
- Co-Advisor(s)
- Sunghyun Cho
- Issued Date
- 2020
- Awarded 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
- Degree
- Master
- Department
- Information and Communication Engineering
- Publisher
- DGIST
- Related Researcher
-
-
Chwa, Hoon Sung
- Research Interests Real-Time Systems; Real-Time AI Services; Cyber-Physical Systems; Mobile Systems
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- Files in This Item:
-
There are no files associated with this item.
- Appears in Collections:
- Department of Electrical Engineering and Computer Science Theses Master
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