MuLoG, or How to Apply Gaussian Denoisers to Multi-Channel SAR Speckle Reduction?
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Publication:4619023
DOI10.1109/TIP.2017.2713946zbMath1409.94107arXiv1704.05335WikidataQ36405074 ScholiaQ36405074MaRDI QIDQ4619023
Loïc Denis, Florence Tupin, Sonia Tabti, Charles-Alban Deledalle
Publication date: 5 February 2019
Published in: IEEE Transactions on Image Processing (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1704.05335
Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)
Related Items (7)
Speckle reduction in matrix-log domain for synthetic aperture radar imaging ⋮ Multiplicative Noise Removal for Texture Images Based on Adaptive Anisotropic Fractional Diffusion Equations ⋮ A new non-divergence diffusion equation with variable exponent for multiplicative noise removal ⋮ An adaptive total variational despeckling model based on gray level indicator frame ⋮ Image multiplicative denoising using adaptive Euler's elastica as the regularization ⋮ Fractional-order diffusion model for multiplicative noise removal in texture-rich images and its fast explicit diffusion solving ⋮ New Splitting Algorithms for Multiplicative Noise Removal Based on Aubert-Aujol Model
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