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首页> 外文期刊>Journal of Real-Time Image Processing >A real-time video denoising algorithm with FPGA implementation for Poisson-Gaussian noise
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A real-time video denoising algorithm with FPGA implementation for Poisson-Gaussian noise

机译：带有FPGA实现的实时视频降噪算法，用于泊松-高斯噪声

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摘要

The denoising function in digital imaging devices must consider resource consumption and real-time capability in addition to effective noise-removal performance. One commonly used denoising method is pixel similarity weighted frame averaging (PSWFA). In this study, we improve the denoising capability of PSWFA using a pre-filter that consists of a downsampling operator and a small Gaussian filter. Moreover, given that noise in digital imaging devices is signal dependent and is typically modeled as a Poisson-Gaussian distribution, we introduce generalized Anscombe transformation to remove the signal dependency by rendering the noise variance constant. The transformed image can be considered corrupted by an approximately Gaussian noise. To embed our algorithm in hardware, we implement our algorithm on a Spartan-6 FPGA for evaluation. We also compare our algorithm with some existing denoising methods on FPGA. For further evaluation of the denoising ability, the algorithm is compared with some state-of-the-art algorithms that are not implemented on FPGA but have high performance on a personal computer. Experimental results on both simulated noise videos and actually captured low-light noise videos show the effectiveness of our algorithm, particularly in the processing of large-scale noise.
机译：除了有效的噪声去除性能，数字成像设备中的降噪功能还必须考虑资源消耗和实时功能。一种常用的降噪方法是像素相似度加权帧平均（PSWFA）。在这项研究中，我们使用一个由下采样算子和一个小的高斯滤波器组成的预滤波器来提高PSWFA的去噪能力。此外，考虑到数字成像设备中的噪声与信号有关，并且通常将其建模为泊松-高斯分布，我们引入广义的Anscombe变换，通过使噪声方差保持恒定来消除信号依赖性。可以认为变换后的图像被近似高斯噪声破坏了。为了将我们的算法嵌入硬件，我们在Spartan-6 FPGA上实现了我们的算法以进行评估。我们还将我们的算法与FPGA上现有的一些去噪方法进行了比较。为了进一步评估降噪能力，将该算法与某些尚未在FPGA上实现但在个人计算机上具有高性能的最新算法进行了比较。在模拟噪声视频和实际捕获的微光噪声视频上的实验结果证明了我们算法的有效性，尤其是在处理大型噪声时。

著录项

  • 来源
    《Journal of Real-Time Image Processing》 |2017年第2期|327-343|共17页
  • 作者

    Tan Xin; Liu Yu; Zuo Chenglin; Zhang Maojun;

  • 作者单位

    Natl Univ Def Technol, Coll Informat Syst & Management, Changsha 410073, Hunan, Peoples R China;

    Natl Univ Def Technol, Coll Informat Syst & Management, Changsha 410073, Hunan, Peoples R China;

    Natl Univ Def Technol, Coll Informat Syst & Management, Changsha 410073, Hunan, Peoples R China;

    Natl Univ Def Technol, Coll Informat Syst & Management, Changsha 410073, Hunan, Peoples R China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Denoising; FPGA; Poisson-Gaussian noise; Pre-filter; Real-time capability;

    机译：去噪;FPGA;泊松-高斯噪声;预滤波器;实时能力​​;

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