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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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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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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A novel MRI PET image fusion using shearlet transform and pulse coded neural network [PDF]
Scientific ReportsImage fusion involves combining details from two or more different imaging techniques, say MRI and PET images and provides a better image for diagnosis and treatment. Despite the fact standard spatial domain methods are being used successfully, including
Vella Satyanarayana, P. Mohanaiah
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Shearlet Transform Applied to a Prostate Cancer Radiomics Analysis on MR Images
MathematicsFor decades, wavelet theory has attracted interest in several fields in dealing with signals. Nowadays, it is acknowledged that it is not very suitable to face aspects of multidimensional data like singularities and this has led to the development of ...
Rosario Corso +2 more
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Infrared and Visible Image Fusion Based on Co-Occurrence Analysis Shearlet Transform
Remote Sensing, 2022 This study based on co-occurrence analysis shearlet transform (CAST) effectively combines the latent low rank representation (LatLRR) and the regularization of zero-crossing counting in differences to fuse the heterogeneous images.
Guoling Bi, Biao Qi, Guoning Li
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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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Abstract Shearlet Transform [PDF]
Bulletin of the Belgian Mathematical Society - Simon Stevin, 2015 Approximately ten years ago the generalization of wavelets to shearlets started its development. This paper extends shearlets (introduced in 2005 to find efficient extensions for the classical wavelet transform, see among others \textit{G. Kutyniok} and \textit{D. Labate} [``Construction of regular and irregular shearlet frames'', J.
Kamyabi-Gol, R.A., Atayi, V.
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Frontiers in Earth Science, 2023 Microseismic noise suppression is widely used in the exploration of unconventional oil and gas resources. The effective microseismic downhole signals have extremely weak energy and are contaminated by strong interference, making data processing and ...
Li Han, Dongyan Wang, Pengjun Yu
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Saliency-Guided Nonsubsampled Shearlet Transform for Multisource Remote Sensing Image Fusion [PDF]
Sensors, 2021 The rapid development of remote sensing and space technology provides multisource remote sensing image data for earth observation in the same area. Information provided by these images, however, is often complementary and cooperative, and multisource ...
Liangliang Li, Hongbing Ma
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