Visual Quality Enhancement in Integral Imaging System by Micro-scanning Method and an Interpolation Algorithm
Integral Imaging is one of the promising threedimensional display and imaging techniques. In this paper, to acquire high visual quality integral images, we propose a computational integral imaging recon-struction method by combining the microscanning me-thod in the pickup process and an interpolation algo-rithm applied to the computational integral imaging reconstruction method. Specifically, based on the mi-cro-scanning imaging principle, we first use the four-step micro-scanning method in the pickup process to get four elemental image arrays, then all the zero pixels in the computational reconstructed dot-pattern output image are interpolated by the proposed gra-dient-interpolation algorithm. Quantitative computa-tional experiments are carried out for test plane images with different depths. A correlation image metric factor is employed as an image quality measurement. Results show that the visual quality of the reconstructed integral image can be largely enhanced compared with the conventional pixel-to-pixel mapping computational integral imaging reconstruction method.
Integral Imaging visual quality mi-cro-scanning interpolation
Xin Shen Xiaorui Wang Fangfang Zhang
School of Technical Physics, Xidian University, NO.2 South Taibai Road Xian, China 710071 Faculty of Automation and Information Engineering, Xian University of Technology, NO.5 South Jinhua
国际会议
China Display/Asia Display 2011(2011年中国显示/亚洲显示会议)
江苏昆山
英文
627-630
2011-11-07（万方平台首次上网日期，不代表论文的发表时间）