DocumentCode :
3604513
Title :
High-Resolution Light Field Capture With Coded Aperture
Author :
Yu-Ping Wang ; Li-Chun Wang ; De-Hui Kong ; Bao-Cai Yin
Author_Institution :
Beijing Key Lab. of Multimedia & Intell. Software Technol., Beijing Univ. of Technol., Beijing, China
Volume :
24
Issue :
12
fYear :
2015
Firstpage :
5609
Lastpage :
5618
Abstract :
Acquiring light field with larger angular resolution and higher spatial resolution in low cost is the goal of light field capture. Combining or modifying traditional optical cameras is a usual method for designing light field capture equipment, among which most models should deliberate trade-off between angular and spatial resolution, but augmenting coded aperture avoids this consideration by multiplexing information from different views. On the basis of coded aperture, this paper suggests an improved light field camera model that has double measurements and one mask. The two compressive measurements are respectively realized by a coded aperture and a random convolution CMOS imager, the latter is used as imaging sensor of the camera. The single mask design permits high light efficiency, which enables the sampling images to have high clarity. The double measurement design keeps more correlation information, which is conductive to enhancing the reconstructed light field. The higher clarity and more correlation of samplings mean higher quality of rebuilt light field, which also means higher resolution under condition of a lower PSNR requirement for rebuilt light field. Experimental results have verified advantage of the proposed design: compared with the representative mask-based light field camera models, the proposed model has the highest reconstruction quality and a higher light efficiency.
Keywords :
CMOS image sensors; convolution; image coding; image reconstruction; image resolution; image sampling; masks; optical correlation; PSNR; angular resolution; coded aperture; correlation information; high-resolution light field capture equipment; image sampling; light field optical camera model; multiplexing information; random convolution CMOS imager; reconstructed light field enhancement; single mask design; spatial resolution; Apertures; Cameras; Convolution; Image coding; Mathematical model; Semiconductor device modeling; Spatial resolution; Coded Aperture; Compressive Sensing; Light Field; Light field; Random Convolution CMOS; coded aperture; compressive sensing; random convolution CMOS;
fLanguage :
English
Journal_Title :
Image Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1057-7149
Type :
jour
DOI :
10.1109/TIP.2015.2468179
Filename :
7194814
Link To Document :
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