Three-dimensional scene reconstruction by using lenslet array model in computational integral imaging

Integral imaging is a promising technique for both 3-D scene capturing and reconstruction. Recently, computational simulation has been used to generate the free view of reconstructed scenes without optical devices, which can easily overcome image quality degradation due to the physical limitations of optical devices. In the reconstruction process of integral imaging, current researches focus on the pinhole array model which regards lenslet array as pinhole array for simplicity. But in fact, the optical characteristics of the lenslet such as the focal length, the aperture size of the lenslet, and so on, have significant impact on the reconstructed 3-D scene. In this paper, we proposed a lenslet array model in computational integral imaging. The elemental images were picked up by using a well developed computer graphics programming library OpenGL. And then 3-D scene was reconstructed by an ideal diffraction-limited integral imaging model which taken into account of the effect of the focal length and the aperture size. We presented some simulations and evaluated the image quality by the peak-to-peak signal-to-noise ratio (PSNR). Experimental results show that the proposed lenslet array model increase the depth of field.