A Theory for Multiresolution Signal Decomposition: The Wavelet Representation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Ten lectures on wavelets
Nonlinear total variation based noise removal algorithms
Proceedings of the eleventh annual international conference of the Center for Nonlinear Studies on Experimental mathematics : computational issues in nonlinear science: computational issues in nonlinear science
Image Sequence Restoration: A PDE Based Coupled Method for Image Restoration and Motion Segmentation
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume II - Volume II
Combined Wavelet Domain and Temporal Video Denoising
AVSS '03 Proceedings of the IEEE Conference on Advanced Video and Signal Based Surveillance
Wavelet domain image restoration with adaptive edge-preserving regularization
IEEE Transactions on Image Processing
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We propose a novel method for image sequence restorations. It is based on the wavelet domain image restoration method proposed by Belge et al. for static images [1]. In this paper, by combining the iteration procedure in the Belge's method with the renewing process for sequentially given images and by employing Kalman filer for predicting the foreground movement of the images in the wavelet domain, considerable reduction of the computational cost is shown to be achievable. This is verified by computer simulations on artificially degraded images.