Results 1 to 10 of about 260 (129)

The curvelet transform for image denoising [PDF]

IEEE Transactions on Image Processing, 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
David Donoho, Jean-Luc Starck, Emmanuel Candes   +2 more
exaly   +5 more sources

An Intertwining of Curvelet and Linear Canonical Transforms

Journal of Mathematics, 2020
In this article, we introduce a novel curvelet transform by combining the merits of the well-known curvelet and linear canonical transforms. The motivation towards the endeavour spurts from the fundamental question of whether it is possible to increase ...
Azhar Y. Tantary, Firdous A. Shah
doaj   +2 more sources

Curvelet transform for Boehmians

Arab Journal of Mathematical Sciences, 2014
By proving the required auxiliary results, two Boehmian spaces are constructed for the purpose of extending the curvelet transform to the context of Boehmian spaces. A convolution theorem for curvelet transform is proved.
Subash Moorthy Rajendran, Roopkumar Rajakumar   +1 more
doaj   +2 more sources

Reconstruction of seismic data based on SFISTA and curvelet transform

Frontiers in Earth Science, 2023
In seismic data processing, the reconstruction and interpolation of missing traces are essential tasks. To overcome the limitations of irregularly sampled seismic data, this paper proposes a seismic data interpolation method combining the smoothing fast ...
Lin Tian, Lin Tian, Si Qin
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
Lalit Mohan Goyal, Mamta Mittal, Ranjeeta Kaushik, Amit Verma, Iqbaldeep Kaur, Sudipta Roy, Tai-hoon Kim   +6 more
doaj   +3 more sources

A Hybrid Method to Enhance Thick and Thin Vessels for Blood Vessel Segmentation

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, Sahil Verma, Kavita, Md. Sameeruddin Khan, Marcin Wozniak, Jana Shafi, Muhammad Fazal Ijaz   +6 more
doaj   +1 more source

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
doaj   +1 more source

Wavelets and curvelets transform for image denoising to damage identification of thin plate

Results in Engineering, 2023
As a common structural form, thin plates are widely used in civil engineering. Since the thin plate needs to face harsh work conditions, the damage inevitably to be accumulated, thus affecting the stability and safety of the application components ...
Deng Yulong, Ding Ke, Ouyang Chunsheng, Luo Yingshe, Tu Yu, Fu Jianyi, Wang Wei, Du Yaguang   +7 more
doaj   +1 more source

Deconvolution based on the curvelet transform [PDF]

Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429), 2004
This paper describes a new deconvolution algorithm, based on both the wavelet transform and the curvelet transform. It extends previous results which were obtained for the denoising problem. Using these two different transformations in the same algorithm allows us to optimally detect in the same time isotropic features, well represented by the wavelet ...
Nguyen, Mai K., Starck, Jean-Luc, Murtagh, F.   +2 more
openaire   +2 more sources

Optical Flow Estimation Based on Curvelet Transform and Spatio-temporal Derivatives [PDF]

Engineering and Technology Journal, 2010
Optical flow estimation is still one of the key problems in computer vision.When estimating the displacement field between two images, it is applied as soonas correspondences between pixels are needed.
Atheer A. Sabri
doaj   +1 more source