Results 21 to 30 of about 89 (85)
Infrared and visible image fusion for ship targets based on scale‐aware feature decomposition
IET Image Processing, Volume 16, Issue 14, Page 3977-3987, 11 December 2022., 2022 Abstract Infrared (IR) and visible (VI) image fusion play an important role in improving the sea scene perception and ship target detection. Although there have been many studies on image fusion considering the sea scene characteristics, there has still been no adequate extraction method for detailed information of a ship target in a sea scene.
Xin Zheng, Di Kang, Pengbo Si, Qiang Wu
wiley +1 more source
ACM Transactions on Mathematical Software, 2016 Wavelets and their associated transforms are highly efficient when approximating and analyzing one-dimensional signals. However, multivariate signals such as images or videos typically exhibit curvilinear singularities, which wavelets are provably deficient in sparsely approximating and also in analyzing in the sense of, for instance, detecting their ...
Kutyniok, Gitta +2 more
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Mathematische Nachrichten, 2022 AbstractWe develop a distributional framework for the shearlet transform and the shearlet synthesis operator , where is the Lizorkin test function space and is the space of highly localized test functions on the standard shearlet group . These spaces and their duals are called Lizorkin type spaces of test functions and distributions.
Francesca Bartolucci +2 more
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Continuous Shearlet Tight Frames [PDF]
Journal of Fourier Analysis and Applications, 2010 ISSN:1531 ...
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Multivariate Shearlet Transform, Shearlet Coorbit Spaces and Their Structural Properties [PDF]
, 2012 This chapter is devoted to the generalization of the continuous shearlet transform to higher dimensions as well as to the construction of associated smoothness spaces and to the analysis of their structural properties, respectively. To construct canonical scales of smoothness spaces, so-called shearlet coorbit spaces, and associated atomic ...
Stephan Dahlke +2 more
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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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Computerized tomography with total variation and with shearlets [PDF]
Inverse Problems, 2017 To reduce the x-ray dose in computerized tomography (CT), many constrained optimization approaches have been proposed aiming at minimizing a regularizing function that measures lack of consistency with some prior knowledge about the object that is being imaged, subject to a (predetermined) level of consistency with the detected attenuation of x-rays ...
Gabor T. Herman, Edgar Garduño
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International Journal of Imaging Systems and Technology, Volume 35, Issue 2, March 2025.ABSTRACT Low‐dose computed tomography (CT) images are prone to noise and artifacts caused by photon starvation and electronic noise. Recently, researchers have explored the use of transformer‐based neural networks combined with generative diffusion models, showing promising results in denoising CT images.
Farzan Niknejad Mazandarani +2 more
wiley +1 more source
Shearlets and Microlocal Analysis [PDF]
, 2012 Although wavelets are optimal for describing pointwise smoothness properties of univariate functions, they fail to efficiently characterize the subtle geometric phenomena of multidimensional singularities in high-dimensional functions. Mathematically these phenomena can be captured by the notion of the wavefront set which describes point- and direction-
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Shearlets and Optimally Sparse Approximations [PDF]
, 2012 in "Shearlets: Multiscale Analysis for Multivariate Data", Birkh\"auser ...
Gitta Kutyniok, Jakob Lemvig, Wang-Q Lim
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