ITERATIVE REGULARIZATION AND NONLINEAR INVERSE SCALE SPACE BASED ON TRANSLATION INVARIANT WAVELET SHRINKAGE
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Publication:5386729
DOI10.1142/S0219691308002239zbMath1149.65049OpenAlexW2094114285MaRDI QIDQ5386729
Binbin Hao, Min Li, Xiang Chu Feng
Publication date: 14 May 2008
Published in: International Journal of Wavelets, Multiresolution and Information Processing (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1142/s0219691308002239
numerical resultsiterative regularizationwavelet shrinkagedenoisingimage restorationinverse scale space
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Related Items (5)
WAVELET CHARACTERIZATION OF HARDY SPACE H1 AND ITS APPLICATION IN VARIATIONAL IMAGE DECOMPOSITION ⋮ STRUCTURE AND TEXTURE IMAGE INPAINTING USING SPARSE REPRESENTATIONS AND AN ITERATIVE CURVELET THRESHOLDING APPROACH ⋮ A BREGMAN ITERATIVE REGULARIZATION METHOD FOR WAVELET-BASED IMAGE DEBLURRING ⋮ Iterative regularization and inverse scale space methods with wave atoms ⋮ DAUBECHIES COMPLEX WAVELET TRANSFORM BASED MULTILEVEL SHRINKAGE FOR DEBLURRING OF MEDICAL IMAGES IN PRESENCE OF NOISE
Cites Work
- Nonlinear total variation based noise removal algorithms
- Variational image restoration by means of wavelets: Simultaneous decomposition, deblurring, and denoising
- A Variational Method in Image Recovery
- Interpreting translation-invariant wavelet shrinkage as a new image smoothing scale space
- Nonlinear wavelet image processing: variational problems, compression, and noise removal through wavelet shrinkage
- On the Equivalence of Soft Wavelet Shrinkage, Total Variation Diffusion, Total Variation Regularization, and SIDEs
- De-noising by soft-thresholding
- An Iterative Regularization Method for Total Variation-Based Image Restoration
- WAVELET-CONSTRAINED IMAGE RESTORATION
- SOFT-THRESHOLDING FOR DENOISING OF MEDICAL IMAGES — A MULTIRESOLUTION APPROACH
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