Improved analysis on the signal property of computational integral imaging system

Abstract

In this paper, we introduce an improved signal analysis of the computational integral imaging (CII) system having a pickup process of three-dimensional object and a volumetric computational reconstruction (VCR) process. We propose a signal model for the CII system. From the signal model and its analysis, we can define a granular noise caused by the non-uniform overlapping. We also analyze the characteristics of the granular noise. According to our model and analysis, there is a condition that the granular noise cancels out. To show the feasibility of our model, the preliminary experiments are carried out and the result is presented. This is the first time, to our knowledge, that a signal model for the analysis of CII systems is provided.

Computational Integral Imaging Reconstruction of 3D Object Using a Depth Conversion Technique

“…ROP can be normalized to reduce the effect of the intensity irregularities [13]. However, the conventional VCR suffers from the problem of high computational cost as the distance between lenslet array and ROP increases.…”

“…Recently, for 3D visualization and recognition using integral imaging, a concept of computational integral imaging (CII) has been proposed [12][13][14]. This CII is composed of the optical pickup process and the volumetric computational reconstruction (VCR).…”

“…In the VCR process, the EIA is digitally reconstructed by using a computer in order to obtain volumetric 3D images. CII has several problems to be solved such as a poor resolution of the reconstructed image [6,13], high computational cost [14], reconstruction limitation of far 3D objects [15], and so on.…”

Robust image encryption by combined use of integral imaging and pixel scrambling techniques

“…In general, the integral imaging system consists of two processes: pickup [11][12][13][14][15][16][17] and reconstruction process [18][19][20][21]. In the pickup process, demagnified images with different perspectives of the 3-D objects are optically recorded by using a chargecoupled device (CCD) camera through the lenslet array or digitally generated by using the computer simulation model of ray optics.…”

Resolution Enhanced Computational Integral Imaging Reconstruction by Using Boundary Folding Mirrors

“…It has been regarded as the most promising technique because of its full parallax, continuous viewing, and full-color images [1][2][3][4]. However, this technique suffers from some problems such as limited image resolution [5][6][7], narrow viewing angle, and small image depth.…”