Video denoising algorithm based on improved dual-domain filtering and 3D block matching

This study introduces an algorithm for video denoising based on improved dual-domain filtering and 3D block matching. The wavelet thresholding based on 3D block matching is introduced to make full use of the correlation of video sequence in order to apply dual-domain filtering to the video. A layere...

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Veröffentlicht in:IET image processing Jg. 12; H. 12; S. 2250 - 2257
Hauptverfasser: Xiao, Jinsheng, Zou, Wentao, Zhang, Shangyue, Lei, Junfeng, Wang, Wen, Wang, Yuan-Fang
Format: Journal Article
Sprache:Englisch
Veröffentlicht: The Institution of Engineering and Technology 01.12.2018
Schlagworte:
3D block matching
dual‐domain filtering
Fourier transform
Fourier transforms
image denoising
image filtering
image matching
image segmentation
image sequences
Research Article
stereo image processing
video denoising algorithm
video sequence
video signal processing
wavelet thresholding
wavelet transforms
Fourier transforms
3D block matching
wavelet transforms
video denoising algorithm
wavelet thresholding
video sequence
image filtering
Fourier transform
image denoising
image matching
image segmentation
stereo image processing
dual-domain filtering
video signal processing
image sequences
ISSN:1751-9659, 1751-9667
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Beschreibung
Zusammenfassung:This study introduces an algorithm for video denoising based on improved dual-domain filtering and 3D block matching. The wavelet thresholding based on 3D block matching is introduced to make full use of the correlation of video sequence in order to apply dual-domain filtering to the video. A layered approach is used that attempts denoising in both a base layer and a detail layer. The result of wavelet thresholding based on 3D block matching is used as a guide image to make the base layer smoother. Shrinkage of short-time Fourier transform coefficients further decreases the noise in the detail layer. Experimental results show that the authors’ algorithm generates a better base layer and detail layer than the traditional dual-domain filtering algorithms. The subjective and objective comparisons of different algorithms also prove that the proposed algorithm performs better for video denoising.
ISSN:1751-9659
1751-9667
DOI:10.1049/iet-ipr.2018.5563