Video denoising using 2D and 3D dual-tree complex wavelet transforms

Ivan W. Selesnick; Ke Yong Li

doi:10.1117/12.504896

13 November 2003 Video denoising using 2D and 3D dual-tree complex wavelet transforms

Ivan W. Selesnick, Ke Yong Li

Proceedings Volume 5207, Wavelets: Applications in Signal and Image Processing X; (2003) https://doi.org/10.1117/12.504896
Event: Optical Science and Technology, SPIE's 48th Annual Meeting, 2003, San Diego, California, United States

Abstract

The denoising of video data should take into account both temporal and spatial dimensions, however, true 3D transforms are rarely used for video denoising. Separable 3-D transforms have artifacts that degrade their performance in applications. This paper describes the design and application of the non-separable oriented 3-D dual-tree wavelet transform for video denoising. This transform gives a motion-based multi-scale decomposition for video - it isolates in its subbands motion along different directions. In addition, we investigate the denoising of video using the 2-D and 3-D dual-tree oriented wavelet transforms, where the 2-D transform is applied to each frame individually.

Citation Download Citation

Ivan W. Selesnick and Ke Yong Li "Video denoising using 2D and 3D dual-tree complex wavelet transforms", Proc. SPIE 5207, Wavelets: Applications in Signal and Image Processing X, (13 November 2003); https://doi.org/10.1117/12.504896

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