Optimum Pitch of Volumetric Computational Reconstruction in Integral Imaging

In this paper, we propose a method for how to find the optimum pitch of volumetric computational reconstruction (VCR) in integral imaging. In conventional VCR, the pixel shifts between elemental images are quantized due to pixel-based processing. As a result, quantization errors may occur during three-dimensional (3D) reconstruction in integral imaging. This may cause the degradation of the visual quality and depth resolution of the reconstructed 3D image. To overcome this problem, we propose a method to find the optimum pitch for VCR in integral imaging. To minimize the quantization error in VCR, the shifting pixels are defined as a natural number. Using this characteristic, we can find the optimum pitch of VCR in integral imaging. To demonstrate the feasibility of our method, we conducted simulations and optical experiments with performance metrics such as the peak-signal-to-noise ratio (PSNR) and structural similarity index measure (SSIM).