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Ratio-based nonlocal anisotropic despeckling approach for SAR images
Although the first filtering algorithms have been proposed more than 30 years ago,
despeckling of synthetic aperture radar images is still an open issue. A new boost has been …
despeckling of synthetic aperture radar images is still an open issue. A new boost has been …
Denoising of MR images using Kolmogorov-Smirnov distance in a Non Local framework
Data coming from any acquisition system, such as Magnetic Resonance Imaging ones, are
affected by noise. Although modern high field scanners can reach high Signal to Noise …
affected by noise. Although modern high field scanners can reach high Signal to Noise …
Foveated nonlocal self-similarity
When we gaze a scene, our visual acuity is maximal at the fixation point (imaged by the
fovea, the central part of the retina) and decreases rapidly towards the periphery of the …
fovea, the central part of the retina) and decreases rapidly towards the periphery of the …
[HTML][HTML] Ultrasound image despeckling based on statistical similarity
F Baselice - Ultrasound in medicine & biology, 2017 - Elsevier
Ultrasound images are affected by the speckle phenomenon, a multiplicative noise that
degrades image quality. Several methods for denoising have been proposed in recent …
degrades image quality. Several methods for denoising have been proposed in recent …
Fast patchwise nonlocal SAR image despeckling using joint intensity and structure measures
D Liang, M Jiang, J Ding - IEEE Journal of Selected Topics in …, 2022 - ieeexplore.ieee.org
Nonlocal means synthetic aperture radar (SAR) image despeckling approaches have
attracted much research attention. However, high computational burden always limits its …
attracted much research attention. However, high computational burden always limits its …
Multiparent fractal image coding-based methods for salt-and-pepper noise removal
W Liang, X Li, Z Tu, J Lu - Fractals, 2024 - World Scientific
Salt-and-pepper noise consists of outlier pixel values which significantly impair image
structure and quality. Multiparent fractal image coding (MFIC) methods substantially exploit …
structure and quality. Multiparent fractal image coding (MFIC) methods substantially exploit …
How to transform and filter images using iterated function systems
We generalize the mathematics of fractal transformations and illustrate how it leads to a new
approach to the representation and processing of digital images, and consequent novel …
approach to the representation and processing of digital images, and consequent novel …
A study of the structural similarity image quality measure with applications to image processing
D Brunet - 2012 - uwspace.uwaterloo.ca
Since its introduction in 2004, the Structural Similarity (SSIM) index has gained widespread
popularity as an image quality assessment measure. SSIM is currently recognized to be one …
popularity as an image quality assessment measure. SSIM is currently recognized to be one …
Single image super-resolution via non-local normalized graph Laplacian regularization: A self-similarity tribute
The process of producing a high-resolution image given a single low-resolution noisy
measurement is called single-frame image super-resolution (SISR). Historically, many fractal …
measurement is called single-frame image super-resolution (SISR). Historically, many fractal …
An improved fast fractal image compression using spatial texture correlation
XY Wang, YX Wang, JJ Yun - Chinese Physics B, 2011 - iopscience.iop.org
This paper utilizes a spatial texture correlation and the intelligent classification algorithm
(ICA) search strategy to speed up the encoding process and improve the bit rate for fractal …
(ICA) search strategy to speed up the encoding process and improve the bit rate for fractal …