A Theory for Multiresolution Signal Decomposition: The Wavelet Representation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Ten lectures on wavelets
Estimation of noise in images: an evaluation
CVGIP: Graphical Models and Image Processing
Adapted wavelet analysis from theory to software
Adapted wavelet analysis from theory to software
Filtering and deconvolution by the wavelet transform
Signal Processing
Multiresolution support applied to image filtering and restoration
Graphical Models and Image Processing
Image processing and data analysis: the multiscale approach
Image processing and data analysis: the multiscale approach
Signal Processing
Mathematical morphology: A useful set of tools for imageanalysis
Statistics and Computing
Multiresolution Support for Adaptive Image Restoration Using Neural Networks
ICANN '02 Proceedings of the International Conference on Artificial Neural Networks
On wavelets applications in medical image denoising
Machine Graphics & Vision International Journal
Crude Oil Price Prediction Based On Multi-scale Decomposition
ICCS '07 Proceedings of the 7th international conference on Computational Science, Part III: ICCS 2007
Detection of noise in digital images by using the averaging filter name COV
ACIIDS'13 Proceedings of the 5th Asian conference on Intelligent Information and Database Systems - Volume Part II
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We describe a range of powerful multiscale analysis methods.We also focus on the pivotal issue of measurement noise in thephysical sciences. From multiscale analysis and noise modeling, wedevelop a comprehensive methodology for data analysis of2D images, 1D signals (or spectra), and pointpattern data. Noise modeling is based on the following: (i) multiscaletransforms, including wavelet transforms; (ii) a data structure termed themultiresolution support; and (iii) multiple scale significancetesting. The latter two aspectsserve to characterize signal with respect to noise.The data analysis objectives we deal with include noise filteringand scale decomposition for visualization or feature detection.