Results 31 to 40 of about 430 (164)
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
Paleoceanography and Paleoclimatology, Volume 41, Issue 4, April 2026.Abstract Seismic reflection data from Vincennes Bay, East Antarctica, provide the first insights into the Cenozoic evolution of the East Antarctic Ice Sheet (EAIS) in the Knox Coast. Long‐distance seismic horizon correlation allows age estimates for the seismic stratigraphic framework constructed for the continental shelf.
Timo Mühlberger‐Krause +7 more
wiley +1 more source
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
New Frontiers of Fractal Uncertainty
Fractal and FractionalWe extend the classical fractal uncertainty principle (FUP) framework in time-frequency analysis by exploring several novel directions. First, we generalize the FUP beyond the classical Gaussian window by investigating non-Gaussian windows and the ...
Saeed Hashemi Sababe, Ismail Nikoufar
doaj +1 more source
Convex multiclass segmentation with shearlet regularization [PDF]
International Journal of Computer Mathematics, 2013 Segmentation plays an important role in many preprocessing stages in image processing. Recently, convex relaxation methods for image multi-labeling were proposed in the literature. Often these models involve the total variation (TV) semi-norm as regularizing term.
Sören Häuser, Gabriele Steidl
openaire +2 more sources
Multimodal Medical Image Fusion in Spatial‐Transformed Domains
IET Computers &Digital Techniques, Volume 2026, Issue 1, 2026.Fusion of multimodal medical images has become an essential reference for clinical diagnosis and a prominent topic in information fusion research. However, balancing the fusion performance with computational efficiency remains a challenging issue. In this paper, we propose an effective and efficient hybrid fusion method for multimodal medical images ...
Yisheng Rong +5 more
wiley +1 more source
Pedestrian detection algorithms using shearlets
, 2018 In this thesis, we investigate the applicability of the shearlet transform for the task of pedestrian detection. Due to the usage of in several emerging technologies, such as automated or autonomous vehicles, pedestrian detection has evolved into a key ...
Pfeifer, Lienhard
core +2 more sources
A Shearlets-based Edge Identification Algorithem for Infrared Image [PDF]
, 2013 A shearlets-based edge identification algorithem for infrared image is proposed. The algorithem demonstrates the performance of edge detection based on shearlets, combines with the edge hysteresis thresholding, designs steps of edge detection, which is ...
SHI, Cai-cheng, ZOU, Rui-bin
core +1 more source
An Efficient Skin Cancer Diagnostic System Using Bendlet Transform and Support Vector Machine
Anais da Academia Brasileira de CiênciasSkin is the outermost and largest organ of the human body that protects us from the external agents. Among the various types of diseases affecting the skin, melanoma (skin cancer) is the most dangerous and deadliest disease.
POOVIZHI S, GANESH BABU TR
doaj +1 more source
Compactly Supported Shearlets [PDF]
, 2011 24 pages, 7 figures, Conference Proceeding: Approximation Theory XIII (San Antonio, TX, 2010), Springer (to appear)
Kutyniok, Gitta +2 more
openaire +2 more sources