Name
Abstract | ||
|---|---|---|
In this paper, we propose a novel, temporally-adaptive maximum a posteriori (MAP) estimation algorithm for the reduction of additive video noise in the wavelet domain. We have exploited the fact that the spatial and temporal redundancies, which exist in a video se- quence in the time domain, also persist in the wavelet domain. This allows the video motion to be captured in the wavelet domain. A new statistical model for video sequences is proposed, where the subband coefficients in individual frames as well as the wavelet co- efficient difference occurring between two consecutive frames are modeled using the generalized Laplacian distribution. Based on this model, a MAP estimator is developed that estimates the noise-free wavelet coefficients in the current frame, conditioned on the noisy coefficients in the current frame and the filtered coefficients in the past frame. The proposed algorithm has been tested using several different test sequences and corrupting noise powers and the exper- imental results show that the proposed scheme outperforms several state-of-the-art spatio-temporal filters in time and wavelet domains in terms of quantitative performance as well as visual quality. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1109/ICIP.2006.312703 | Atlanta, GA |
Keywords | Field | DocType |
adaptive estimation,filtering theory,image denoising,image motion analysis,image sequences,maximum likelihood estimation,spatiotemporal phenomena,video signal processing,wavelet transforms,MAP,generalized Laplacian distribution,maximum aposteriori estimation algorithm,motion capturing,spatiotemporal filters,statistical model,temporally-adaptive estimation,time domain,video denoising,video sequence,wavelet domain,Video signal processing,filtering,wavelet transforms | Computer vision,Pattern recognition,Computer science,Fast wavelet transform,Second-generation wavelet transform,Artificial intelligence,Discrete wavelet transform,Cascade algorithm,Stationary wavelet transform,Wavelet packet decomposition,Wavelet transform,Wavelet | Conference |
ISSN | ISBN | Citations |
1522-4880 | 1-4244-0480-0 | 1 |
PageRank | References | Authors |
0.35 | 9 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Nikhil Gupta | 1 | 1 | 0.35 |
| Plotkin, E.I. | 2 | 6 | 3.60 |
| M.N.S., Swamy | 3 | 334 | 44.14 |