火力与指挥控制2017，Vol.42Issue(6)：167-170,174,5.DOI:10.3969/j.issn.1002-0640.2017.06.038
一种改进的红外图像降噪算法与FPGA实现
A Improved Infrared Image Noise Reduction Algorithm and FPGA Implement
张勇 1王和明 1周瑞钊 1任成伟1
作者信息
- 1. 空军工程大学防空反导学院,西安 710051
- 折叠
摘要
Abstract
For the low SNR and contrast and the fuzzy edge in infrared image,a new noise reduction algorithm based on motion detection is proposed. The property of the noise of infrared image is analysed and image is divided into motion image and still image through a motion detection algorithm. The motion image and the still image is processed by a improved self-adaptive Wiener filter algorithm and NL-means algorithm .The noise reduction system is implemented by FPGA. The experiment shows:the PSNR and DV/BV of image both are higher than traditional algorithm after being disposed with the algorithm. And the algorithm can effectively reduce noise and dissolve the problem of image edge blur.关键词
红外图像降噪,动静态检测,PSNR,细节方差-/背景方差比Key words
infrared image noise reduction/motion and still detection/PSNR/DV/BV分类
信息技术与安全科学引用本文复制引用
张勇,王和明,周瑞钊,任成伟..一种改进的红外图像降噪算法与FPGA实现[J].火力与指挥控制,2017,42(6):167-170,174,5.
