Results 51 to 60 of about 762,837 (162)
On Quaternion Shearlet Transforms
, 2018 In this paper, we introduce the notion of quaternion shearlet transform- which is an extension of the ordinary shearlet transform. Firstly, we study the fundamental properties of quaternion shearlet transforms and then establish some basic results including Moyal's and inversion formulae.
Shah, Firdous A., Tantary, Azhar Y.
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Advanced Intelligent Systems, Volume 8, Issue 7, July 2026.Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal +6 more
wiley +1 more source
Non-subsample Shearlet Wave Watermarking Algorithm Based on Texture Directionality [PDF]
Jisuanji gongcheng, 2018 In order to solve the problem of the irreconcilability between invisibility and robustness of watermarking algorithm,a novel watermarking algorithm using Non-subsample Shearlet Wave Transform(NSST) is proposed.The algorithm uses shearlet wave transform ...
ZHAO Jian,FAN Shuaishuai,XU Wensheng,ZHANG Wanru
doaj
Low-Light Image Enhancement Based on Nonsubsampled Shearlet Transform
IEEE Access, 2020 To improve the observability of low-light images, a low-light image enhancement algorithm based on nonsubsampled shearlet transform (NSST) is presented (LIEST). The proposed algorithm can synchronously achieve contrast improvement, noise suppression, and
Manli Wang +4 more
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FMDNet: Spatial‐frequency feature routing for low‐dose CT denoising
Journal of Applied Clinical Medical Physics, Volume 27, Issue 6, June 2026.Abstract Background Low‐dose computed tomography (LDCT) is widely used to reduce radiation exposure, but the reduced photon budget amplifies quantum noise and can introduce structured artifacts that obscure subtle boundaries and textures. Many deep learning denoisers process features in a single stream, which may encourage either over‐smoothing of weak
Yujie Yao +6 more
wiley +1 more source
Saliency-Guided Nonsubsampled Shearlet Transform for Multisource Remote Sensing Image Fusion
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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Research on Precise Identification of Rock Strength Based on Bolt Drilling Parameters
Energy Science &Engineering, Volume 14, Issue 3, Page 1353-1371, March 2026.Drilling detection test platform. ABSTRACT During roadway excavation, the presence of weak interlayers and fractured rock masses significantly affects roof stability. To achieve timely and effective roadway support, it is crucial to identify and predict different rock types based on drilling signals from roof bolters.
Qiang Zhu +4 more
wiley +1 more source
IEEE Access, 2019 Conventional objective image assessment metrics, such as mean squared error and peak signal-to-noise ratio, which only calculates pixel-based differences between the original and the degraded images, are not in agreement with the human vision.
Wu Dong, Hongxia Bie, Likun Lu, Yeli Li
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Grayscale Image Fusion Based on Finite Discrete Shearlet Transform [PDF]
Jisuanji gongcheng, 2016 To improve the fusion effect of multi-source grayscale image,a new grayscale image fusion algorithm is proposed combining the shift invariance and good directional sensitivity of FDST.The original images after registration are decomposed by FDST,and the ...
ZHOU Yan,ZHOU Yuan,WANG Xuhui
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Cone-Adapted Shearlets and Radon Transforms [PDF]
, 2020 19 pages, 3 ...
Bartolucci F., De Mari F., De Vito E.
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