Compactly Supported Curvelet-Type Systems by Kenneth N. Rasmussen, Morten Nielsen

“…We study a flexible method for constructing curvelet-type frames. These curvelet-type systems have the same sparse representation properties as curvelets for appropriate classes of smooth functions, and the flexibility of the method allows us to give a constructive description of how to construct curvelet-type systems with a prescribed nature such as compact support in direct space. …”
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A Curvelet-SC Recognition Method for Maize Disease by Jing Luo, Shuze Geng, Chunbo Xiu, Dan Song, Tingting Dong

“…Because the corn vein and noise influence the contour extraction of the maize leaf disease, we put forward a new recognition algorithm based on Curvelet and Shape Context (SC). This method can improve the speed and accuracy of maize leaf disease recognition. …”
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加强边缘保护的Curvelet图像去噪方法 by 肖小奎, 黎绍发

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An ultraviolet image enhancement algorithm in Curvelet domain based on human visual characteristics by Bin ZHANG, Peng,YUANJie WU, Lingqing SUN, Qiming FU, Yongze ZHANG, Yu LU

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Multiresolution Analysis Using Wavelet, Ridgelet, and Curvelet Transforms for Medical Image Segmentation by Shadi AlZubi, Naveed Islam, Maysam Abbod

“…Multiresolution analysis (MRA) using wavelet, ridgelet, and curvelet transforms has been used in the proposed segmentation system. …”
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3D Curvelet-Based Segmentation and Quantification of Drusen in Optical Coherence Tomography Images by M. Esmaeili, A. M. Dehnavi, H. Rabbani

“…The proposed algorithm consists of three parts: (1) preprocessing, which includes creating binary mask and removing possible highly reflective posterior hyaloid that is used in accurate detection of inner segment/outer segment (IS/OS) junction layer and Bruch’s membrane (BM) retinal layers; (2) coarse segmentation, in which 3D curvelet transform and graph theory are employed to get the possible candidate drusenoid regions; (3) fine segmentation, in which morphological operators are used to remove falsely extracted elongated structures and get the refined segmentation results. …”
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结合USFFT Curvelet变换的各向异性扩散图像去噪模型 by 杨家红, 何明志, 佘利忠, 钟坚成

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Iris recognition algorithm based on feature weighting fast discrete Curvelet transform and fuzzy LS-SVM by Zhenhong HE

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Diabetic retinopathy grading using curvelet CNN with optimized SSO activations and wavelet-based image enhancement by N. Mohana Suganthi, M. Arun

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Iris recognition based on generalized Gaussian distribution FDCT_Wrap and FSVM by Zhenhong HE

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Spatial Images Feature Extraction Based on Bayesian Nonlocal Means Filter and Improved Contourlet Transform by Pengcheng Han, Junping Du

“…Experimental results both on standard images and spatial images confirm that the proposed algorithm yields significantly better performance than nonsubsampled wavelet transform, contourlet, and curvelet approaches.…”
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