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Temporal G-Neighbor Filtering for Analog Domain Noise Reduction in Astronomical Videos

机译:时间G邻域滤波可降低天文视频中的模拟域噪声

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摘要

Astronomical images obtained from existing cameras are subjected to various types of noise artifacts. Impulse noise is one of them and it is visible as dark and bright spots on the image. Common practice to remove impulse noise is to perform averaging of several frames. This will increase signal-to-noise ratio of the image, however, impulse noise might still be present. The noisy image will hinder the performance of further processing operations such as edge detection. In this brief, variable pixel G-neighbor temporal filtering circuit is proposed to improve the quality of astronomical images with the impulse noise. As compared to conventional averaging of frames in the time domain, where all pixels are summed, the proposed circuit select pixels in each frame that are closest to the reference pixel. The circuit operates in the analog domain, and it was designed and tested using 180-nm CMOS technology. Simulations demonstrate improvement in the peak-signal-to-noise (PSNR) ratio, mean-squared-error (MSE) and structural similarity index measure (SSIM) as compared to conventional averaging of frames.
机译:从现有相机获得的天文图像会遭受各种类型的噪声伪影。脉冲噪声是其中之一,在图像上可以看到暗点和亮点。消除脉冲噪声的常见做法是对几个帧进行平均。这将增加图像的信噪比,但是,脉冲噪声可能仍然存在。噪点图像将妨碍进一步处理操作(例如边缘检测)的性能。在此简要中,提出了可变像素G邻居时间滤波电路,以提高带有脉冲噪声的天文图像的质量。与在时域中对所有像素求和的常规平均帧相比,所提出的电路在每个帧中选择最接近参考像素的像素。该电路在模拟域中运行,并使用180纳米CMOS技术进行了设计和测试。仿真结果表明,与传统的帧平均相比,峰值信噪比(PSNR),均方误差(MSE)和结构相似性指标度量(SSIM)有所改善。

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