Curved computational integral imaging reconstruction technique for resolution-enhanced display of three-dimensional object images.

A novel curved computational integral imaging reconstruction (C-CIIR) technique for the virtually curved integral imaging (VCII) system is proposed, and its performances are analyzed. In the C-CIIR model, an additional virtual large-aperture lens is included to provide a multidirectional curving effect in the reconstruction process, and its effect is analyzed in detail by using the ABCD matrix. With this method, resolution-enhanced 3D object images can be computationally reconstructed from the picked-up elemental images of the VCII system. To confirm the feasibility of the proposed model, some experiments are carried out. Experiments revealed that the sampling rate in the VCII system could be kept at a maximum value within some range of the distance z, whereas in the conventional integral imaging system it linearly decreased as the distance z increased. It is also shown that resolutions of the object images reconstructed by the C-CIIR method have been significantly improved compared with those of the conventional CIIR method.

[1]  Bahram Javidi,et al.  Three-dimensional image sensing and reconstruction with time-division multiplexed computational integral imaging. , 2003, Applied optics.

[2]  Eun-Soo Kim,et al.  Recognition of 3D objects by use of computational integral imaging reconstruction , 2007, Electronic Imaging.

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

[4]  Sung-Wook Min,et al.  Wide-viewing-angle integral three-dimensional imaging system by curving a screen and a lens array. , 2005, Applied optics.

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

[6]  Eun-Soo Kim,et al.  Enhanced-resolution computational integral imaging reconstruction using an intermediate-view reconstruction technique , 2006 .

[7]  Eun-Soo Kim,et al.  Resolution-enhanced 3D image correlator using computationally reconstructed integral images , 2007 .

[8]  Bahram Javidi,et al.  Digital three-dimensional image correlation by use of computer-reconstructed integral imaging. , 2002, Applied optics.

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

[10]  S. Min,et al.  Viewing-angle-enhanced integral imaging system using a curved lens array. , 2004, Optics express.

[11]  Eun-Soo Kim,et al.  Computational Technique of Volumetric Object Reconstruction in Integral Imaging by Use of Real and Virtual Image Fields , 2005 .

[12]  Byoungho Lee,et al.  Depth extraction by use of a rectangular lens array and one-dimensional elemental image modification. , 2004, Applied optics.

[13]  F. Okano,et al.  Three-dimensional video system based on integral photography , 1999 .

[14]  J H Park,et al.  Three-dimensional display by use of integral photography with dynamically variable image planes. , 2001, Optics letters.

[15]  Bahram Javidi,et al.  Improved viewing resolution of three-dimensional integral imaging by use of nonstationary micro-optics. , 2002, Optics letters.

[16]  Bahram Javidi,et al.  Improved resolution 3D object reconstruction using computational integral imaging with time multiplexing. , 2004, Optics express.

[17]  Eun-Soo Kim,et al.  Computational Implementation of Asymmetric Integral Imaging by Use of Two Crossed Lenticular Sheets , 2005 .

[18]  Byoungho Lee,et al.  Multidirectional curved integral imaging with large depth by additional use of a large-aperture lens. , 2006, Applied optics.