A Theory for Multiresolution Signal Decomposition: The Wavelet Representation
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Wiener Filter Improvement Combining Wavelet Domains
ICIAP '03 Proceedings of the 12th International Conference on Image Analysis and Processing
Image denoising via wavelet-domain spatially adaptive FIR Wiener filtering
ICASSP '00 Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 04
Wavelet footprints: theory, algorithms, and applications
IEEE Transactions on Signal Processing
De-noising by soft-thresholding
IEEE Transactions on Information Theory
Mean curvature evolution and surface area scaling in image filtering
IEEE Transactions on Image Processing
Modified curvature motion for image smoothing and enhancement
IEEE Transactions on Image Processing
Spatially adaptive wavelet thresholding with context modeling for image denoising
IEEE Transactions on Image Processing
The curvelet transform for image denoising
IEEE Transactions on Image Processing
Image denoising using scale mixtures of Gaussians in the wavelet domain
IEEE Transactions on Image Processing
Combined image compression and denoising using wavelets
Image Communication
Transients Detection in the Time-Scale Domain
ICISP '08 Proceedings of the 3rd international conference on Image and Signal Processing
A Fast Scheme for Multiscale Signal Denoising
ICIAR '08 Proceedings of the 5th international conference on Image Analysis and Recognition
Image Denoising Using Similarities in the Time-Scale Plane
ACIVS '08 Proceedings of the 10th International Conference on Advanced Concepts for Intelligent Vision Systems
Time-scale atoms chains for transients detection in audio signals
IEEE Transactions on Audio, Speech, and Language Processing
Analytical footprints: compact representation of elementary singularities in wavelet bases
IEEE Transactions on Signal Processing
Performance prediction methodology based on pattern recognition
Signal Processing
Time-Scale Similarities for Robust Image De-noising
Journal of Mathematical Imaging and Vision
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In this paper WISDOW (wavelet-based image and signal de-noising via overlapping waves) is presented. It consists of a novel model for noise removal using wavelets. Its main peculiarity is the modelling of a noisy signal as composition of elementary atoms which behave as interfering waves in the wavelet domain. Signal recovery is then performed by means of the overlapping effects principle at each scale level. Early theoretical and experimental results show the great potential of the proposed model.