Denoising method using a moving-average filter for the moving-object recognition of low-illuminance video-image

Weijie Zhou, Y. Miura
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引用次数: 8

Abstract

In this research, we propose the image correction method for low-illuminance image of the normal video camera. In the motion recognition for low-light video images which was filmed at night, it is possible to improve the accuracy of recognition by intensity correction and noise removal as preparation. It is possible to realize robust motion recognition to the changes in illumination. Therefore, in the preparation of the combination of gamma correction and denoising filter, we have to consider about the appropriate parameters. In this research, we introduce the moving-average filter as the denoising filter, and evaluate the processing time and the performance for the proposed method.
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基于移动平均滤波器的低照度视频图像运动目标识别降噪方法
在本研究中,我们提出了普通摄像机低照度图像的图像校正方法。在夜间拍摄的弱光视频图像的运动识别中,可以通过强度校正和去噪作为准备来提高识别精度。实现对光照变化的鲁棒运动识别是可能的。因此,在伽玛校正与去噪滤波器组合的制备中,我们必须考虑合适的参数。在本研究中,我们引入了移动平均滤波器作为去噪滤波器,并对该方法的处理时间和性能进行了评价。
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