|Title||Motion-compensated wavelet video denoising|
|Publication Type||Conference Paper|
|Year of Publication||2004|
|Authors||Jin, F., P. Fieguth, and L. Winger|
|Conference Name||2004 International Conference on Image Analysis and Recognition|
|Keywords||Kalman filtering, motion compensation, Video denoising, wavelet transform|
We study a low complexity, motion-compensated recursive video denoising scheme in the wavelet domain. To preserve weak spatial textures, both spatial and temporal filtering are carried out in the wavelet domain. We justify the proposed approach by evaluating the relative increase of mean squared error (MSE) with respect to the optimal estimator. Various multiresolution motion estimation schemes are studied to allow us to exploit the high temporal correlation present in most video. Kalman filtering is then applied to the wavelet coefficients along motion trajectories to efficiently suppress noise.
Motion-compensated wavelet video denoising