@inproceedings{6be1311b7d4c40bd85e4c30fe67ad89f,
title = "The study of real-time denoising algorithm based on parallel computing for the MEMS IR imager",
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.",
keywords = "FPGA, MEMS, Parallel computing, Real-time denoising",
author = "Cheng Gong and Mei Hui and Liquan Dong and Yuejin Zhao",
year = "2011",
doi = "10.1117/12.904647",
language = "English",
isbn = "9780819488411",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
booktitle = "2011 International Conference on Optical Instruments and Technology",
note = "2011 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Processing Technology ; Conference date: 06-11-2011 Through 09-11-2011",
}