Computational imaging is a research area that realizes revolutionary imaging systems by combining optics and signal processing. In general, high-performance imaging systems require complex and large-scale optical devices. On the other hand, due to the improvement of the processing capabilities of computer in recent years, signal processing with large computational costs can now be processed at high speeds. It realizes an adjustment of charges of optics and signal processing after image capturing, such as aberration correction. By taking advantage of this background, we are working on the miniaturization, simplification, and performance improvement of imaging systems, which were impossible in the past. For example, we have researched and developed ultra-slim multi-aperture camera consisted of clusters of miniature lenses, cameras an projectors that focus on huge 3-D spaces, 3-D displays that respond to ambient light, etc..
- 2010 Ph.D. (Information Science) Osaka University
- 2010 Assistant professor, Graduate School of Information Science and Technology, Osaka University
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