Abstract
In an integral imaging (II) system, the pickup sampling effects play an important role in affecting the blur of an integral image. In this paper, the blur property of an integral image due to the pickup sampling artifacts is first analyzed. Then, a figure of merit-the edge blur width (EBW) of a white and black bar object is proposed to characterize the blur of the reconstructed image, and its theoretical model is derived in detail based on a continuous/discrete (C/D) sampling mechanism by considering both the pickup sampling and the reconstruction process. Further, the quantitative relationships of the blur with the pickup sampling parameters (the pixel number of each elemental image, the number of elemental images) are calculated by the EBW model and measured by C/D sampling II simulation experiments, respectively. We find out that the theoretical results have a good agreement with the estimated ones, and the minimum values of the EBW occurred periodically when the pixel number of an elemental image is an integral multiple of the magnification ratio.
Highlights
Integral imaging (II) is a promising three-dimensional (3-D) display technique that has been considered for 3-D television and visualization for its inherent advantages, such as fullparallax, continuous viewing points, operating without coherent light, etc
We find out that the peak value points of cut-off frequency always exist for the pixel number of elemental image (EI) n = k · M, where k is a positive integer and M = Z/g is the magnification ratio
The edge blur width (EBW) is proposed and derived to characterize the effect of the pickup sampling on the blur of the reconstructed image in an II system
Summary
Integral imaging (II) is a promising three-dimensional (3-D) display technique that has been considered for 3-D television and visualization for its inherent advantages, such as fullparallax, continuous viewing points, operating without coherent light, etc. The authors [7] proposed the perceptual contrast threshold (PCT) surface for characterizing the systematic performance of II systems by considering the sampling artifact of the detector as the equivalent MTF, which can correctly describe the lateral resolution, contrast, depth distance and their trade-off relationships in II This equivalent method is relatively simple, which cannot provide accurate description for continuous/discrete (C/D) sampling mechanism of EIs. we introduce a squeezed MTF concept to quantitatively characterize the spurious response due to the sampling aliasing of the reconstruction microlens array and characterize its effects on the viewing resolution of an integral image [8].
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