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Design of Large Field-of-View High-Resolution Miniaturized Imaging System

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Steps are taken to design the optical system of lenslet array/photoreceptor array plexus on curved surfaces to achieve a large field of view (FOV) with each lenslet capturing a portion of the scene. An optimal sampling rate in the image plane, as determined by the pixel pitch, is found by the use of an information theoretic performance measure. Since this rate turns out to be sub-Nyquist, superresolution techniques can be applied to the multiple low-resolution (LR) images captured on the photoreceptor array to yield a single high-resolution (HR) image of an object of interest. Thus, the computational imaging system proposed is capable of realizing both the specified resolution and specified FOV.


  1. 1.

    Dowski ER Jr., Cathey WT: Extended depth of field through wave-front coding. Applied Optics 1995,34(11):1859-1866. 10.1364/AO.34.001859

  2. 2.

    Adelson EH, Wang JYA: Single lens stereo with a plenoptic camera. IEEE Transactions on Pattern Analysis and Machine Intelligence 1992,14(2):99-106. 10.1109/34.121783

  3. 3.

    Ng R, Levoy M, Brédif M, Duval G, Horowitz M, Hanrahan P: Light field photography with a hand-held plenoptic camera. In Tech. Rep. CTSR 2005-02. Stanford University, Stanford, Calif, USA; 2005.

  4. 4.

    Nayar SK: Catadioptric omnidirectional camera. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, June 1997, San Juan, Puerto Rico, USA 482–488.

  5. 5.

    Kang MG, Chaudhuri S (Eds): Super-resolution image reconstruction In IEEE Signal Processing Magazine 2003,20(3):19-20. 10.1109/MSP.2003.1203206

  6. 6.

    Bose NK, Ahuja NA: Superresolution and noise filtering using moving least squares. IEEE Transactions on Image Processing 2006,15(8):2239-2248.

  7. 7.

    Bose NK, Chan RH, Ng MK (Eds): High-resolution image reconstruction—I In International Journal of Imaging Systems and Technology 2004,14(2):35-89. 10.1002/ima.20005

  8. 8.

    Bose NK, Chan RH, Ng MK (Eds): High-resolution image reconstruction—II In International Journal of Imaging Systems and Technology 2004,14(3):91-145. 10.1002/ima.20012

  9. 9.

    Huck FO, Fales CL, Alter-Gartenberg R, Park SK, Rahman Z: Information-theoretic assessment of sampled imaging systems. Optical Engineering 1999,38(5):742-762. 10.1117/1.602264

  10. 10.

    Kitamura Y, Shogenji R, Yamada K, et al.: Reconstruction of a high-resolution image on a compound-eye image-capturing system. Applied Optics 2004,43(8):1719-1727. 10.1364/AO.43.001719

  11. 11.

    Duparré J, Dannberg P, Schreiber P, Bräuer A, Tünnermann A: Artificial apposition compound eye fabricated by micro-optics technology. Applied Optics 2004,43(22):4303-4310. 10.1364/AO.43.004303

  12. 12.

    Lohmann AW: Scaling laws for lens systems. Applied Optics 1989,28(23):4996-4998. 10.1364/AO.28.004996

  13. 13.

    Born M, Wolf E: Principles of Optics: Electromagnetic Theory of Propogation, Interference and Diffraction of Light. Pergamon Press, Oxford, UK; 1980.

  14. 14.

    Hecht E: Optics. Addison Wesley, New York, NY, USA; 1998.

  15. 15.

    Goodman JW: Introduction to Fourier Optics. 2nd edition. McGraw-Hill, New York, NY, USA; 1996.

  16. 16.

    Fossum ER: Digital camera system on a chip. IEEE Micro 1998,18(3):8-15. 10.1109/40.683047

  17. 17.

    Nakamura J: Basics of image sensors. In Image Sensors and Signal Processing for Digital Still Cameras. Edited by: Nakamura J. Taylor and Francis, London, UK; 2006:53-64.

  18. 18.

    El Gamal A, Eltoukhy H: CMOS image sensors. IEEE Circuits and Devices Magazine 2005,21(3):6-20. 10.1109/MCD.2005.1438751

  19. 19.

    McCluney R: Introduction to Radiometry and Photometry. Artech House, Boston, Mass, USA; 1994.

  20. 20.

    Papoulis A: Probability, Random Variables and Stochastic Processes. 3rd edition. McGraw-Hill, New York, NY, USA; 1991.

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Correspondence to Nilesh A. Ahuja.

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Ahuja, N.A., Bose, N.K. Design of Large Field-of-View High-Resolution Miniaturized Imaging System. EURASIP J. Adv. Signal Process. 2007, 059546 (2007) doi:10.1155/2007/59546

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  • Information Technology
  • Sampling Rate
  • Image System
  • Optical System
  • Image Plane