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Ideal spatial adaptation via Wavelet shrinkage Biometrika 81

Ideal spatial adaptation via Wavelet shrinkage Biometrika 81,D. L. Donoho,I. M Johnstone

Ideal spatial adaptation via Wavelet shrinkage Biometrika 81   (Citations: 19)
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Published in 1995.
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    • ...It is usually has soft and hard threshold methods[3] . Hard threshold function is defined as:...

    Li Xipanet al. The study on noise reduction model of GPS dynamic deformation data bas...

    • ...For instance, image denoising belongs to the most popular and active areas in signal processing and has been intensively studied in both image processing and computer vision literature [11,12] .O n the other hand, to our knowledge, there exists only one blind forgery detection method based on the image’s noise properties which does not use any a priori information about the image or source camera...
    • ...The noise standard deviation in each block is estimated using a widely used median-based method ([12])...
    • ...In recent years, wavelet analysis has been demonstrated to be a powerful way for performing tasks concerned with image noise [11,12]...
    • ...It has been shown in [12] that the standard deviation of noise can be robustly estimated from the first decomposition level diagonal sub-band HH 1 using the following median based estimator:...

    Babak Mahdianet al. Using noise inconsistencies for blind image forensics

    • ...Their first formulations, starting with the concept of thresholding, can be traced back to the mid-nineties with the pioneering work of Chambolle, DeVore, Lee, and Lucier [17], Donoho and Johnstone [54,55], Rudin, Osher, and Fatemi [86]...

    Massimo Fornasier. Compressive Algorithms-Adaptive Solutions of PDEs and Variational Prob...

    • ...for a wide variety of operators A. Such bases can also be chosen to adapt to the structure of f (see Section 4 and [20, 19])...
    • ...Another well known application of this estimator is for thresholding of wavelet coefficients [19]...
    • ...Wavelet thresholding has been used to construct nonlinear adaptive estimators [19, 18, 20, 16, 39, 14, 35]...

    L. Cavalier. Nonparametric statistical inverse problems

    • ...Many algorithms are based on the soft thresholding pioneered by Donoho and Johnstone [1-3], and the most well-known methods include VisuShrink [1], SureShrink [3], PenalizedShrink [4], and BayesShrink [5]...

    Ying Chenet al. Adaptive Wavelet Threshold for Image Denoising by Exploiting Inter-sca...

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