A systematic review on recent developments in nonlocal and variational methods for SAR image despeckling
Speckle is a granular deformity that frequently appears in images acquired through coherent
imaging sensors such as synthetic aperture radar (SAR). The existence of such noise in the …
imaging sensors such as synthetic aperture radar (SAR). The existence of such noise in the …
NL-SAR: A unified nonlocal framework for resolution-preserving (Pol)(In) SAR denoising
Speckle noise is an inherent problem in coherent imaging systems such as synthetic
aperture radar. It creates strong intensity fluctuations and hampers the analysis of images …
aperture radar. It creates strong intensity fluctuations and hampers the analysis of images …
A nonlocal SAR image denoising algorithm based on LLMMSE wavelet shrinkage
S Parrilli, M Poderico, CV Angelino… - IEEE Transactions on …, 2011 - ieeexplore.ieee.org
We propose a novel despeckling algorithm for synthetic aperture radar (SAR) images based
on the concepts of nonlocal filtering and wavelet-domain shrinkage. It follows the structure of …
on the concepts of nonlocal filtering and wavelet-domain shrinkage. It follows the structure of …
MuLoG, or how to apply Gaussian denoisers to multi-channel SAR speckle reduction?
CA Deledalle, L Denis, S Tabti… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Speckle reduction is a longstanding topic in synthetic aperture radar (SAR) imaging. Since
most current and planned SAR imaging satellites operate in polarimetric, interferometric, or …
most current and planned SAR imaging satellites operate in polarimetric, interferometric, or …
Exploiting patch similarity for SAR image processing: The nonlocal paradigm
Most current synthetic aperture radar (SAR) systems offer high-resolution images featuring
polarimetric, interferometric, multifrequency, multiangle, or multidate information. SAR …
polarimetric, interferometric, multifrequency, multiangle, or multidate information. SAR …
Benchmarking framework for SAR despeckling
G Di Martino, M Poderico, G Poggi… - … on Geoscience and …, 2013 - ieeexplore.ieee.org
Objective performance assessment is a key enabling factor for the development of better
and better image processing algorithms. In synthetic aperture radar (SAR) despeckling …
and better image processing algorithms. In synthetic aperture radar (SAR) despeckling …
Adaptive regularization of the NL-means: Application to image and video denoising
C Sutour, CA Deledalle, JF Aujol - IEEE Transactions on image …, 2014 - ieeexplore.ieee.org
Image denoising is a central problem in image processing and it is often a necessary step
prior to higher level analysis such as segmentation, reconstruction, or super-resolution. The …
prior to higher level analysis such as segmentation, reconstruction, or super-resolution. The …
How to compare noisy patches? Patch similarity beyond Gaussian noise
Many tasks in computer vision require to match image parts. While higher-level methods
consider image features such as edges or robust descriptors, low-level approaches (so …
consider image features such as edges or robust descriptors, low-level approaches (so …
Multiplicative noise removal for texture images based on adaptive anisotropic fractional diffusion equations
W Yao, Z Guo, J Sun, B Wu, H Gao - SIAM Journal on Imaging Sciences, 2019 - SIAM
Multiplicative noise removal problems have attracted much attention in recent years. Unlike
additive noise removal problems, multiplicative noise destroys almost all information of the …
additive noise removal problems, multiplicative noise destroys almost all information of the …
Saliency map in image visual quality assessment and processing
Radioelectronic and Computer Systems, 2023, no. 1(105) 112 UDC 004.932.4 doi:
10.32620/reks.2023.1.09 Vladimir LUKIN1, Ekaterina Page 1 ISSN 1814-4225 (print) …
10.32620/reks.2023.1.09 Vladimir LUKIN1, Ekaterina Page 1 ISSN 1814-4225 (print) …