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Optimizing Coded Patterns with Various Lengths
- Authors
- Lee, J.[Lee, J.]; Jeon, B.[Jeon, B.]
- Issue Date
- 2022
- Publisher
- SPIE
- Keywords
- Computational photography; image deconvolution; motion deblurring
- Citation
- Proceedings of SPIE - The International Society for Optical Engineering, v.12177
- Indexed
- SCOPUS
- Volume
- 12177
- ISSN
- 0277-786X
- Abstract
- The performance of coded exposure photography-based image deblurring highly depends on its coded pattern to use. Conventionally, the length of the coded pattern has been optimized under the assumption that its length is equal to the length of motion blur. However, coded patterns of different lengths from the same motion blur may have better invertibility than the conventional patterns. In this paper, we investigate a method to optimize the coded pattern within an extended range of length candidates. We demonstrate the effectiveness of the proposed method using a real dataset. © 2022 SPIE.
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Related Researcher
- JEON, BYEUNG WOO
- Information and Communication Engineering (Electronic and Electrical Engineering)