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Proceedings Paper

The study of real-time denoising algorithm based on parallel computing for the MEMS IR imager
Author(s): Cheng Gong; Mei Hui; Liquan Dong; Yuejin Zhao
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Paper Abstract

Recent years, the MEMS-based optical readout infrared imaging technology is becoming a research hotspot. Studies show that the MEMS-based optical readout infrared imager features a high frame rate. Considering the high data Throughput and computing complexity of denoising algorithm It's difficult to ensure real-time of the image processing. In order to improve processing speed and achieve real-time, we conducted a study of denoising algorithm based on parallel computing using FPGA (Field Programmable Gate Array). In the paper, we analyze the imaging characteristics of MEMS-based optical readout infrared imager and design parallel computing methods for real-time denoising using the hardware description language. The experiment shows that the parallel computing denoising algorithm can improve infrared image processing speed to meet real-time requirement.

Paper Details

Date Published: 29 November 2011
PDF: 7 pages
Proc. SPIE 8200, 2011 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Processing Technology, 820010 (29 November 2011); doi: 10.1117/12.904647
Show Author Affiliations
Cheng Gong, Beijing Institute of Technology (China)
Mei Hui, Beijing Institute of Technology (China)
Liquan Dong, Beijing Institute of Technology (China)
Yuejin Zhao, Beijing Institute of Technology (China)


Published in SPIE Proceedings Vol. 8200:
2011 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Processing Technology

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