Noise reduction of image sequences using motion compensation and signal decomposition
IEEE Transactions on Image Processing
Image motion estimation algorithms using cumulants
IEEE Transactions on Image Processing
A recursive nonstationary MAP displacement vector field estimation algorithm
IEEE Transactions on Image Processing
A new algorithm for image noise reduction using mathematical morphology
IEEE Transactions on Image Processing
Nonlinear scale-space filtering and multiresolution system
IEEE Transactions on Image Processing
State aggregation of large network domains
Computer Communications
A new wavelet-based fuzzy single and multi-channel image denoising
Image and Vision Computing
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We describe an application of the clustering filter to image sequence preprocessing for MPEG encoding. Since noise is unavoidable and compression is lossy, we propose and demonstrate that one can obtain better picture quality if one takes out noise before the video signal is fed into an encoder. This is where our contribution differs from previous work on preprocessing. We test our schemes on digital video in the CCIR 601 format converted from film using a standard telecine process. The results show that the motion estimation is more effective and motion-compensated difference signal is easier to encode, resulting in higher quality at a fixed bit rate or lower bit rate at a fixed quality.