Simulated validation and quantitative analysis of the blur of an integral image related to the pickup sampling effects

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.

Keywords

• integral imaging (ii)
• blur
• sampling
• the edge blur width (ebw)