Sparse Representation-Based Multi-Focus Image Fusion Method via Local Energy in Shearlet Domain [PDF]
Sensors, 2023 Multi-focus image fusion plays an important role in the application of computer vision. In the process of image fusion, there may be blurring and information loss, so it is our goal to obtain high-definition and information-rich fusion images.
Liangliang Li +3 more
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Use of the shearlet energy entropy and of the support vector machine classifier to process weak microseismic and desert seismic signals [PDF]
Comptes Rendus. Géoscience, 2020 Low-amplitude signal detection is a key procedure in borehole microseismic and desert seismic exploration. Usually, signals are difficult to detect due to their low amplitude and noise contamination.
Li, Yue +3 more
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$p$-adic Dual Shearlet Frames [PDF]
Sahand Communications in Mathematical Analysis, 2019 We introduced the continuous and discrete $p$-adic shearlet systems. We restrict ourselves to a brief description of the $p$-adic theory and shearlets in real case.
Mahdieh Fatemidokht +1 more
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X-ray Image Enhancement Based on Nonsubsampled Shearlet Transform and Gradient Domain Guided Filtering [PDF]
Sensors, 2022 In this paper, we propose an image enhancement algorithm combining non-subsampled shearlet transform and gradient-domain guided filtering to address the problems of low resolution, noise amplification, missing details, and weak edge gradient retention in
Tao Zhao, Si-Xiang Zhang
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Bankline detection of GF-3 SAR images based on shearlet [PDF]
PeerJ Computer Science, 2021 The GF-3 satellite is China’s first self-developed active imaging C-band multi-polarization synthetic aperture radar (SAR) satellite with complete intellectual property rights, which is widely used in various fields.
Zengguo Sun +4 more
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Bendlet Transform Based Adaptive Denoising Method for Microsection Images [PDF]
Entropy, 2022 Magnetic resonance imaging (MRI) plays an important role in disease diagnosis. The noise that appears in MRI images is commonly governed by a Rician distribution. The bendlets system is a second-order shearlet transform with bent elements.
Shuli Mei +5 more
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Iterative CT reconstruction using shearlet-based regularization [PDF]
, 2012 In computerized tomography, it is important to reduce the image noise without increasing the acquisition dose. Extensive research has been done into total variation minimization for image denoising and sparse-view reconstruction. However, TV minimization
Bert Vandeghinste +6 more
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Noise reduction by adaptive-SIN filtering for retinal OCT images [PDF]
Scientific Reports, 2021 Optical coherence tomography (OCT) images is widely used in ophthalmic examination, but their qualities are often affected by noises. Shearlet transform has shown its effectiveness in removing image noises because of its edge-preserving property and ...
Yan Hu +4 more
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Iterative CT reconstruction based on ADMM using shearlet sparse regularization
Mathematical Biosciences and Engineering, 2022 The total variation (TV) method favors solutions with the piece-wise constant assumption of the desired image from sparse-view sampling, for example, simple geometric images with flat intensity.
Dayu Xiao +4 more
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Determining Area Affected by Corona in Lung Computed Tomography Images by Three-phase Level Set and Shearlet Transform [PDF]
Journal of Medical Signals and SensorsBackground: The COVID-19 pandemic has created a critical global situation, causing widespread challenges and numerous fatalities due to severe respiratory complications. Since lung involvement is a key factor in COVID-19 diagnosis and treatment, accurate
Nasser Aghazadeh +2 more
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