Name
Title | ||
|---|---|---|
Video Denoising Using Motion Compensated 3-D Wavelet Transform With Integrated Recursive Temporal Filtering |
Abstract | ||
|---|---|---|
A novel framework of the motion-compensated 3-D wavelet transform (MC3DWT) for video denoising is presented in this paper. The motion-compensated temporal wavelet transform is first performed on a sliding window of video frames consisting of previously denoised frames and the current noisy frame. The 2-D spatial wavelet transform is then performed on the temporal subband frames, thus realizing a 3-D wavelet transform. Any of established wavelet-based still image denoising algorithms can then be applied to the high-pass 3-D subbands. The operation of the inverse 2-D spatial wavelet transform followed by the inverse temporal wavelet transform reconstructs the video frames in the buffer. The denoised current frame may be used as an output for real-time processing; meanwhile, the past frames can be updated, one of which may be used as a delayed output for post-processing or for real-time processing that allows some amount of delay. The proposed MC3DWT framework integrates both the spatial filtering and recursive temporal filtering into the 3-D wavelet domain and effectively exploits both the spatial and temporal redundancies. Experimental results have demonstrated a superior visual and quantitative performance of the proposed scheme for various levels of noise and motion. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/TCSVT.2010.2045806 | IEEE Trans. Circuits Syst. Video Techn. |
Keywords | Field | DocType |
3-d wavelet domain,real-time processing,motion-compensated 3-d wavelet,motion-compensated temporal wavelet,3-d wavelet transform,integrated recursive temporal filtering,2-d spatial,video denoising,inverse temporal wavelet,temporal subband frame,temporal redundancy,3-d wavelet,video frame,signal processing,high pass,motion compensation,wavelet transforms,filtering,wavelet transform,spatial filtering,real time processing,sliding window,image reconstruction,noise reduction | Computer vision,Harmonic wavelet transform,Lifting scheme,Pattern recognition,Computer science,Second-generation wavelet transform,Artificial intelligence,Discrete wavelet transform,Stationary wavelet transform,Wavelet packet decomposition,Wavelet,Wavelet transform | Journal |
Volume | Issue | ISSN |
20 | 6 | 1051-8215 |
Citations | PageRank | References |
6 | 0.41 | 27 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shigong Yu | 1 | 6 | 0.41 |
| M. O. Ahmad | 2 | 1157 | 154.87 |
| M. N.S. Swamy | 3 | 267 | 18.50 |