Optimization of 3D Integral Imaging System Parameters

Integral imaging is a promising technology for 3D imaging and display. A number of parameters affect the performance of 3D integral imaging systems. Improved system performance is obtained by optimization of these parameters with respect to defined performance metrics. In this paper, we present an approach to optimize the performance of 3D integral imaging system in terms of performance metrics under fixed resource constraints. In this analysis, system parameters such as lens numerical aperture, pitch between image sensors, the number of image sensors, the pixel size, and the number of pixels are selected to optimize performance metrics. Wave optics is utilized to describe the imaging process.

[1]  C. Burckhardt.  Optimum Parameters and Resolution Limitation of Integral Photography , 1968 .

[2]  Bahram Javidi,et al.  Three-Dimensional Image Sensing, Visualization, and Processing Using Integral Imaging , 2006, Proceedings of the IEEE.

[3]  Herbert E. Ives,et al.  Optical Properties of a Lippmann Lenticulated Sheet , 1931 .

[4]  B. Javidi,et al.  Effects of device resolution on three-dimensional integral imaging. , 2004, Optics letters.

[5]  S. Benton,et al.  Holographic Imaging , 2008 .

[6]  R. Storn,et al.  Differential Evolution: A Practical Approach to Global Optimization (Natural Computing Series) , 2005 .

[7]  Myungjin Cho,et al.  Three-Dimensional Optical Sensing and Visualization Using Integral Imaging , 2011, Proceedings of the IEEE.

[8]  B. Javidi,et al.  Integral imaging with improved depth of field by use of amplitude-modulated microlens arrays. , 2004, Applied optics.

[9]  J. Goodman.  Introduction to Fourier optics , 1969 .

[10]  Makoto Okui,et al.  Real-Time Integral Imaging Based on Extremely High Resolution Video System , 2006, Proceedings of the IEEE.

[11]  F. Okano,et al.  Analysis of resolution limitation of integral photography , 1998 .

[12]  Charles Wheatstone.  On some remarkable and hitherto unobserved phenomena of binocular vision. , 1962 .

[13]  B. Javidi,et al.  Large depth-of-focus time-multiplexed three-dimensional integral imaging by use of lenslets with nonuniform focal lengths and aperture sizes. , 2003 .

[14]  Bahram Javidi,et al.  Progress in 3-D Multiperspective Display by Integral Imaging , 2009, Proceedings of the IEEE.

[15]  C. Wheatstone.  XVIII. Contributions to the physiology of vision. —Part the first. On some remarkable, and hitherto unobserved, phenomena of binocular vision , 1962, Philosophical Transactions of the Royal Society of London.

[16]  Bahram Javidi,et al.  Three dimensional imaging with randomly distributed sensors. , 2008, Optics express.

[17]  Bahram Javidi,et al.  Three-dimensional volumetric object reconstruction using computational integral imaging. , 2004, Optics express.

[18]  M McCormick,et al.  Discussion of the optics of a new 3-D imaging system. , 1988, Applied optics.

[19]  Khashayar Mehrany,et al.  Optimization of the lens-array structure for performance improvement of integral imaging. , 2011, Optics letters.

[20]  F. Okano,et al.  Gradient-index lens-array method based on real-time integral photography for three-dimensional images. , 1998, Applied optics.