Scale-variant magnification for computational integral imaging and its application to 3D object correlator.
In this paper, we present a novel volumetric computational reconstruction (VCR) method for improved 3D object correlator. Basically, VCR consists of magnification and superposition. This paper presents new scale-variant magnification as a technique for VCR. To introduce our technique, we discuss an interference problem among elemental images in VCR. We find that a large magnification causes interference among elemental images when they are applied to the superposition. Thus, the resolution of reconstructed images should be limited by this interference. To overcome the interference problem, we propose a method to calculate a minimum magnification factor while VCR is still valid. Magnification by a new factor enables the proposed method to reconstruct resolution-enhanced images. To confirm the feasibility of the proposed method, we apply our method to a VCR-based 3D object correlator. Experimental results indicate that our method outperforms the conventional VCR method.
Dept. of Visual Contents, Dongseo University, San69-1, Jurye2-Dong, Sasang-Gu, Busan 617-716, Korea. shindh2@dongseo.ac.kr
Dong-Hak
DH
Shin
Hoon
H
Yoo
D000465:Algorithms; D003198:Computer Simulation; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods*; D008962:Models, Theoretical; D013223:Statistics as Topic