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The curvelet transform for image denoising [PDF]
IEEE Transactions on Image Processing, 2002 We describe 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 ...
Candès, Emmanuel J. +2 more
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Improved ECG Watermarking Technique Using Curvelet Transform [PDF]
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 +6 more
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A Mosaic Method for Side-Scan Sonar Strip Images Based on Curvelet Transform and Resolution Constraints [PDF]
Sensors, 2021 Due to the complex marine environment, side-scan sonar signals are unstable, resulting in random non-rigid distortion in side-scan sonar strip images. To reduce the influence of resolution difference of common areas on strip image mosaicking, we proposed
Ning Zhang +4 more
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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
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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 +1 more
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A novel algorithm for PET and MRI fusion based on digital curvelet transform via extracting lesions on both images [PDF]
Electronic Physician, 2017 Background and aim: Merging multimodal images is a useful tool for accurate and efficient diagnosis and analysis in medical applications. The acquired data are a high-quality fused image that contains more information than an individual image.
Shirin Hajeb Mohammad Alipour +2 more
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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
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Diabetic retinopathy grading by digital curvelet transform. [PDF]
Comput Math Methods Med, 2012 One of the major complications of diabetes is diabetic retinopathy. As manual analysis and diagnosis of large amount of images are time consuming, automatic detection and grading of diabetic retinopathy are desired. In this paper, we use fundus fluorescein angiography and color fundus images simultaneously, extract 6 features employing curvelet ...
Hajeb Mohammad Alipour S +2 more
europepmc +4 more sources
Measured multi-source semi-supervised working condition recognition based on curvelet pooling and attention mechanism learning [PDF]
Scientific ReportsTo identify various oil well working conditions more accurately and practically from massive image data collected by multiple measured information sources of sucker-rod pumping wells, this paper proposes a working condition recognition method with three ...
Shuo Yang +3 more
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Journal of Medical Signals and Sensors, 2017 In X-ray computed tomography (CT), the presence of metal objects in a patient’s body produces streak artifacts in the reconstructed images. During the past decades, many different methods were proposed for the reduction or elimination of the streaking ...
Mehran Yazdi, Maryam Mohammadi
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