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19‐3: Invited Paper : Computational 3D Imaging ‐ PSF Engineering for Depth from Defocus ‐
Author(s) -
Nagahara Hajime
Publication year - 2016
Publication title -
sid symposium digest of technical papers
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.351
H-Index - 44
eISSN - 2168-0159
pISSN - 0097-966X
DOI - 10.1002/sdtp.10643
Subject(s) - computer science , point spread function , computer vision , computational photography , optical transfer function , image quality , artificial intelligence , camera phone , computation , lens (geology) , imaging science , image processing , computer graphics (images) , image sensor , focus (optics) , digital imaging , digital image processing , aperture (computer memory) , optics , digital image , image (mathematics) , engineering , physics , algorithm , mechanical engineering
A digital camera industry has been developed in a decade and has a lot of applications equipped with PC and mobile phone etc. However, optics and basic principle of image projection is not changed in latest digital camera. Computational imaging is a new research area for developing new imaging strategy for combining optics and processing of the digital imaging. Camera optics, such as lens and aperture, make an image on a sensor. The quality of the image is decided by the optical transfer function called point spread function (PSF). Computation imaging engineers the PSF for imaging and produces improved quality or function of the image after processing. I will introduce some examples of the PSF engineering methods; coded aperture, focus sweep in computation imaging, and show the coding improve the depth estimation by Depth from Defocus (DFD) application.