DocumentCode :
605633
Title :
High-rank coded aperture projection for extended depth of field
Author :
Chenguang Ma ; Jinli Suo ; Qionghai Dai ; Raskar, Ramesh ; Wetzstein, Gordon
Author_Institution :
Dept. of Autom., Tsinghua Univ., Beijing, China
fYear :
2013
fDate :
19-21 April 2013
Firstpage :
1
Lastpage :
9
Abstract :
Projectors require large apertures to maximize light throughput. Unfortunately, this leads to shallow depths of field (DOF), hence blurry images, when projecting on non-planar surfaces, such as cultural heritage sites, curved screens, or when sharing visual information in everyday environments. We introduce high-rank coded aperture projectors - a new computational display technology that combines optical designs with computational processing to overcome depth of field limitations of conventional devices. In particular, we employ high-speed spatial light modulators (SLMs) on the image plane and in the aperture of modified projectors. The patterns displayed on these SLMs are computed with a new mathematical framework that uses high-rank light field factorizations and directly exploits the limited temporal resolution and contrast sensitivity of the human visual system. With an experimental prototype projector, we demonstrate significantly increased DOF as compared to conventional technology.
Keywords :
display instrumentation; image coding; image resolution; image restoration; mathematical analysis; optical projectors; spatial light modulators; DOF; SLM; computational display technology; computational processing; contrast sensitivity; cultural heritage site; curved screen; extended shallow depth of field; high-rank coded aperture projection; high-rank light field factorization; high-speed spatial light modulator; human visual system; image blurring; image plane; light throughput maximization; mathematical framework; nonplanar surface projection; temporal resolution; visual information; Apertures; Approximation methods; Image quality; Image resolution; Optical imaging; Sensitivity; Transmission line matrix methods;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Photography (ICCP), 2013 IEEE International Conference on
Conference_Location :
Cambridge, MA
Print_ISBN :
978-1-4673-6463-8
Type :
conf
DOI :
10.1109/ICCPhot.2013.6528303
Filename :
6528303
Link To Document :
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