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Journal of Applied Mathematics
Volume 2014 (2014), Article ID 428602, 13 pages
http://dx.doi.org/10.1155/2014/428602
Research Article

Improved Crosstalk Reduction on Multiview 3D Display by Using BILS Algorithm

School of Electronic and Information Engineering, Tianjin University, Tianjin 300072, China

Received 4 December 2013; Accepted 10 July 2014; Published 24 July 2014

Academic Editor: Nachamada Blamah

Copyright © 2014 Xiaoyan Wang and Chunping Hou. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

In multiview three-dimensional (3D) displays, crosstalk is one of the most annoying artefacts degrading the quality of the 3D image. In this paper, we present a system-introduced crosstalk measurement method and derive an improved crosstalk reduction method. The proposed measurement method is applied to measure the exact crosstalk among subpixels corresponding to different view images and the obtained results are very effective for crosstalk reduction method. Furthermore, an improved crosstalk reduction method is proposed to alleviate crosstalk by searching for the optimal integral intensity values of subpixels on the synthetic image. The derived algorithm based on modified Schnorr-Euchner strategy is implemented to seek the optimal solution to this box-constrained integer least squares (BILS) problem, such that the Euclidean distance between solution and its target decreases substantially. The method we develop is applicable to both multiview 3D parallax barrier displays and multiview 3D lenticular displays. Both simulation and experimental results indicate that the derived method is capable of improving 3D image quality more effectively than the existing method on multiview 3D displays.