Simultaneous MAP-based video denoising and rate-distortion optimized video encoding
IEEE Transactions on Circuits and Systems for Video Technology
IEEE Transactions on Circuits and Systems for Video Technology
Video activity analysis based on 3D wavelet statistical properties
ICACT'09 Proceedings of the 11th international conference on Advanced Communication Technology - Volume 3
Fast Multi-Hypothesis Motion Compensated Filter for Video Denoising
Journal of Signal Processing Systems
A fuzzy filter for the removal of random impulse noise in image sequences
Image and Vision Computing
Efficient video denoising based on dynamic nonlocal means
Image and Vision Computing
| Hi-index | 0.00 |
The paper proposes a joint probability density function to model the video wavelet coefficients of any two neighboring frames and then applies this statistical model for denoising. The parameter of the density function that measures the correlation between the wavelet coefficients of the two frames is used as an index for the motion. The joint density function is employed for spatial filtering of the noisy wavelet coefficients by developing a bivariate maximum a posteriori estimator. A recursive time averaging of the spatially filtered wavelet coefficients is adopted for further noise reduction. Simulation results on test video sequences show an improved performance both in terms of the peak signal-to-noise ratio and the perceptual quality compared to that of the other denoising algorithms