Combined spatial and temporal domain wavelet shrinkage algorithm for video denoising

E.J. Bal, Y.F. Zheng, R.L. Ewing
2006 IEEE transactions on circuits and systems for video technology (Print)  
A combined spatial-and temporal-domain wavelet shrinkage algorithm for video denoising is presented in this paper. The spatial-domain denoising technique is a selective wavelet shrinkage method which uses a two-threshold criteria to exploit the geometry of the wavelet subbands of each video frame, and each frame of the image sequence is spatially denoised independently of one another. The temporal-domain denoising technique is a selective wavelet shrinkage method which estimates the level of
more » ... se corruption as well as the amount of motion in the image sequence. The amount of noise is estimated to determine how much filtering is needed in the temporal-domain, and the amount of motion is taken into consideration to determine the degree of similarity between consecutive frames. The similarity affects how much noise removal is possible using temporal-domain processing. Using motion and noise level estimates, a video denoising technique is established which is robust to various levels of noise corruption and various levels of motion. Index Terms-Combined spatial-and temporal-domain processing, motion estimation, selective wavelet shrinkage, video denoising.
doi:10.1109/tcsvt.2005.857816 fatcat:uolvlcal6zf6hii6sguyizuqay