Adaptive video denoising using block matching 3-D filtering

• Main Authors: Guangyi Chen, Bui, T. D., Krzyzak, A., Coulombe, S.
• Format: Conference Proceeding
• Language: English
• Subjects: block matching 3-D filtering (BM3D); Filtering; hard thresholding; Noise measurement; Noise reduction; PSNR; video block matching 3-D filtering (VBM3D); Video denoising; Video sequences; Wiener filter
• ISSN: 0840-7789; 2576-7046
• DOI: 10.1109/CCECE.2012.6335062

Reducing noise in a video sequence is of vital importance in many applications. Despite the fact that many good video denoising methods were proposed in recent years, there is still a need to further improve the existing video denoising methods. Video block matching 3-D filtering (VBM3D), which was developed by Dabov et al. in 2007, is one of the recent state-of-the-art video denoising methods of interest. In the VBM3D, it is assumed that the noise standard deviation for the whole video sequence is known in advance. This is an important drawback of this method. In this paper, we propose a new method to reduce the noise in a video frame adaptively. If the noise standard deviation of the video frame is less than a threshold τ 0 , then we do not apply any denoising method on it. If, on the other hand, the noise standard deviation is greater than τ 0 , and there are k>;0 video frames with noise standard deviation σ n (j) satisfying |σ n (j) - σ n (i)|