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Proceedings Paper

Restoration of moving blurred image based on TMS320C6416
Author(s): Wei Liu; Ming Zhu; Xiang-rong Li
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Paper Abstract

To absolve image blur caused by camera's high speed, fixed-point DSP TMS320C6416 and wiener filtering algorithm are adopted to stabilize image. On the premise that cameras have uniform motion, restoration model for moving blurred image was researched, the principle of Wiener filtering is explained, the key technologies of moving blurred image restoration with TMS320C6416 are introduced: how to complete FFT calculation of 32bit and how to exert DMA function of DSP to enhance processing speed, ring effect and ghost effect in restored image are explained, and how the parameter λ of wiener filter affects ring effect and ghost effect is discussed, in addition to this, other reasons of ring effect and ghost effect are analyzed detailed. Experiments shows that One TMS320C6416 chip can restore seven frames per second, there is great hope to realize real-time restoration if adopting multi-DSP or the FFT completion by hardware.

Paper Details

Date Published: 20 January 2006
PDF: 6 pages
Proc. SPIE 6027, ICO20: Optical Information Processing, 60272T (20 January 2006); doi: 10.1117/12.668301
Show Author Affiliations
Wei Liu, Changchun Institute of Optics, Fine Mechanics and Physics (China)
Chinese Academy of Sciences (China)
Ming Zhu, Changchun Institute of Optics, Fine Mechanics and Physics (China)
Xiang-rong Li, Changchun Institute of Optics, Fine Mechanics and Physics (China)
Chinese Academy of Sciences (China)


Published in SPIE Proceedings Vol. 6027:
ICO20: Optical Information Processing
Yunlong Sheng; Songlin Zhuang; Yimo Zhang, Editor(s)

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