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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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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Multimodality Medical Image Fusion Using Clustered Dictionary Learning in Non-Subsampled Shearlet Transform [PDF]
Diagnostics, 2023 Imaging data fusion is becoming a bottleneck in clinical applications and translational research in medical imaging. This study aims to incorporate a novel multimodality medical image fusion technique into the shearlet domain.
Manoj Diwakar +7 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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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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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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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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A Comparative Study of Shearlet, Wavelet, Laplacian Pyramid, Curvelet, and Contourlet Transform to Defect Detection [PDF]
Journal of Soft Computing in Civil Engineering, 2023 This study presents a new approach based on shearlet transform for the first time to detect damages, and compare it with the wavelet, Laplacian pyramid, curvelet, and contourlet transforms to specify different types of defects in plate structures ...
Sepideh Vafaie, Eysa Salajegheh
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Adaptive filter method in Bendlet domain for biological slice images
Mathematical Biosciences and Engineering, 2023 The biological cross-sectional images majorly consist of closed-loop structures, which are suitable to be represented by the second-order shearlet system with curvature (Bendlet).
Yafei Liu +3 more
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