专利名称：Video blind denoising method based on deep learning, computer device and computer-readable storage medium

专利国别：美国

专利号：US20210327031 A1

法律状态：授权

发明人：Xiang Xie, Shaofeng Zou, Guolin Li, Songping Mai, Zhihua Wang

申请人：清华大学

地址：100084 北京市海淀区100084信箱83分箱清华大学专利办公室

申请日期：2021-10-21

授权日期：

A video blind denoising method based on deep learning, a computer device and a computer-readable storage medium. The method includes: taking a video sequence from a video to be denoised, taking the middle frame in the video sequence as a noisy reference frame, performing an optical flow estimation on the image corresponding to the noisy reference frame and each other frame in the video sequence, to obtain optical flow fields; transforming, according to the optical flow fields, the image corresponding to each other frame in the video sequence to the noisy reference frame for registration respectively, to obtain multi-frame noisy registration images; taking the multi-frame noisy registration images as an input of a convolutional neural network, taking the noisy reference frame as the reference image, performing iterative training and denoising by using the noise2noise training principle, to obtain the denoised image. This solution may achieve the blind denoising of a video.

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