Abstract
We would like a numerical value that indicates the extent to which restoration is achieved compared with the original image in wavefront coding. Using the mean structural similarity (MSSIM) as the image evaluation value, we evaluated restored images and compared phase masks. In this study, we confirmed that it is desirable to optimize the coefficients of the phase mask so that the MSSIM is highest to obtain high-quality restored images.
| Original language | English |
|---|---|
| Title of host publication | 22nd Microoptics Conference, MOC 2017 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 156-157 |
| Number of pages | 2 |
| Volume | 2017-November |
| ISBN (Electronic) | 9784863486096 |
| DOIs | |
| Publication status | Published - 2018 Jan 2 |
| Event | 22nd Microoptics Conference, MOC 2017 - Tokyo, Japan Duration: 2017 Nov 19 → 2017 Nov 22 |
Other
| Other | 22nd Microoptics Conference, MOC 2017 |
|---|---|
| Country | Japan |
| City | Tokyo |
| Period | 17/11/19 → 17/11/22 |
ASJC Scopus subject areas
- Atomic and Molecular Physics, and Optics
- Electronic, Optical and Magnetic Materials
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Cite this
Fukuda, T., & Komatsu, S. (2018). Image evaluation based on the mean structural similarity for wavefront coding. In 22nd Microoptics Conference, MOC 2017 (Vol. 2017-November, pp. 156-157). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.23919/MOC.2017.8244535