• 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