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Fast Discrete Curvelet Transforms [PDF]
Multiscale Modeling and Simulation, 2006 This paper describes two digital implementations of a new mathematical transform, namely, the second generation curvelet transform in two and three dimensions. The first digital transformation is based on unequally spaced fast Fourier transforms, while the second is based on the wrapping of specially selected Fourier samples.
Laurent Demanet +2 more
exaly +4 more sources
Low light image enhancement using curvelet transform and iterative back projection [PDF]
Scientific Reports, 2023 With the advancement of technology in image capturing, people are accustomed to high-resolution images. One of the primary necessities of an image capturing system is to provide the same.
Sreekala Kannoth +2 more
doaj +3 more sources
Improved ECG Watermarking Technique Using Curvelet Transform
Sensors, 2020 Hiding data in electrocardiogram signals are a big challenge due to the embedded information that can hamper the accuracy of disease detection. On the other hand, hiding data into ECG signals provides more security for, and authenticity of, the patient’s
Sudipta Roy, Iqbaldeep Kaur
exaly +4 more sources
The curvelet transform for image denoising [PDF]
Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205), 2002 Summary form only given, as follows. We present approximate digital implementations of two new mathematical transforms, namely, the ridgelet transform and the curvelet transform. Our implementations offer exact reconstruction, stability against perturbations, ease of implementation, and low computational complexity. We apply these digital transforms to
Jean-Luc Starck, E. Candès, D. Donoho
semanticscholar +5 more sources
Curvelet Transform-Based Sparsity Promoting Algorithm for Fast Ultrasound Localization Microscopy. [PDF]
IEEE Trans Med Imaging, 2022 Ultrasound localization microscopy (ULM) based on microbubble (MB) localization was recently introduced to overcome the resolution limit of conventional ultrasound.
You Q +8 more
europepmc +2 more sources
Correlated-Weighted Statistically Modeled Contourlet and Curvelet Coefficient Image-Based Breast Tumor Classification Using Deep Learning [PDF]
Diagnostics, 2022 Deep learning-based automatic classification of breast tumors using parametric imaging techniques from ultrasound (US) B-mode images is still an exciting research area.
Shahriar M. Kabir +1 more
doaj +2 more sources
Alexandria Engineering Journal, 2020 To ensure safety of maintenance of refinery unit and improve reliability of refinery unit, the risk assessment model of refinery unit maintenance is established based on fuzzy second generation curvelet neural network optimized by improved firefly ...
Bin Zhao +3 more
doaj +2 more sources
A Hybrid Method to Enhance Thick and Thin Vessels for Blood Vessel Segmentation [PDF]
Diagnostics, 2021 Retinal blood vessels have been presented to contribute confirmation with regard to tortuosity, branching angles, or change in diameter as a result of ophthalmic disease.
Sonali Dash +6 more
doaj +2 more sources
Curvelet-enhanced transformer architecture for blurred action fine-grained detection [PDF]
Scientific ReportsThis study proposes a novel Multi Curvelet Transformer Network (MCTN) for fine-grained human behavior recognition in dynamic video scenarios. A key challenge in this field lies in accurately identifying human actions under adverse conditions such as ...
Yuxiang Ren +4 more
doaj +2 more sources
IEEE AccessNa $\ddot {i}$ ve simulated additive white Gaussian noise (AWGN) may not fully characterize the complexity of real world noisy images. Owing to optimal sparsity in image representation, we propose a curvelet based model for denoising real-world RGB ...
Susant Kumar Panigrahi +5 more
doaj +2 more sources