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Proceedings Paper

The design of red-blue 3D video fusion system based on DM642
Author(s): Rongguo Fu; Hao Luo; Jin Lv; Shu Feng; Yifang Wei; Hao Zhang
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Paper Abstract

Aiming at the uncertainty of traditional 3D video capturing including camera focal lengths, distance and angle parameters between two cameras, a red-blue 3D video fusion system based on DM642 hardware processing platform is designed with the parallel optical axis. In view of the brightness reduction of traditional 3D video, the brightness enhancement algorithm based on human visual characteristics is proposed and the luminance component processing method based on YCbCr color space is also proposed. The BIOS real-time operating system is used to improve the real-time performance. The video processing circuit with the core of DM642 enhances the brightness of the images, then converts the video signals of YCbCr to RGB and extracts the R component from one camera, so does the other video and G, B component are extracted synchronously, outputs 3D fusion images finally. The real-time adjustments such as translation and scaling of the two color components are realized through the serial communication between the VC software and BIOS. The system with the method of adding red-blue components reduces the lost of the chrominance components and makes the picture color saturation reduce to more than 95% of the original. Enhancement algorithm after optimization to reduce the amount of data fusion in the processing of video is used to reduce the fusion time and watching effect is improved. Experimental results show that the system can capture images in near distance, output red-blue 3D video and presents the nice experiences to the audience wearing red-blue glasses.

Paper Details

Date Published: 31 October 2016
PDF: 8 pages
Proc. SPIE 10020, Optoelectronic Imaging and Multimedia Technology IV, 1002013 (31 October 2016); doi: 10.1117/12.2246020
Show Author Affiliations
Rongguo Fu, Nanjing Univ. of Science and Technology (China)
Hao Luo, Nanjing Univ. of Science and Technology (China)
Jin Lv, Nanjing Univ. of Science and Technology (China)
Shu Feng, Nanjing Univ. of Science and Technology (China)
Yifang Wei, Nanjing Univ. of Science and Technology (China)
Hao Zhang, Nanjing Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 10020:
Optoelectronic Imaging and Multimedia Technology IV
Qionghai Dai; Tsutomu Shimura, Editor(s)

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