Abstract

In this paper, we propose a novel computational integral imaging reconstruction method to improve the visual quality of the reconstructed images. In the proposed method, we reconstruct the dot-pattern output images using a pixel-to-pixel mapping and input an interpolated value into the zero pixels within the dot-pattern images using an interpolation technique. To confirm the feasibility of the proposed system, some experiments are carried out and the results are presented.

© 2009 Optical Society of America