Results 71 to 80 of about 779,839 (204)
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
doaj +1 more source
A Novel Adaptive Shrinkage Threshold on Shearlet Transform for Image Denoising
, 2014 Shearlet is a new multidimensional and multiscale transform which is optimally efficient in representing image containing edges. In this paper an adaptive shrinkage threshold for image de-noising in shearlet domain is proposed.
HUANG, Xu +5 more
core +1 more source
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
Cone-Adapted Shearlets and Radon Transforms [PDF]
, 2020 19 pages, 3 ...
Bartolucci F., De Mari F., De Vito E.
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Blind Image Watermark Detection Algorithm Based on Discrete Shearlet Transform Using Statistical Decision Theory [PDF]
, 2018 Blind watermarking targets the challenging recovery of the watermark when the host is not available during the detection stage. This paper proposes Discrete Shearlet Transform (DST) as a new embedding domain for blind image watermarking.
Kurugollu, Fatih +8 more
core +1 more source
IET Image Processing, Volume 20, Issue 1, January/December 2026.This paper presents a robust reversible watermarking algorithm based on Chebyshev moments, employing a two‐stage embedding mechanism. The proposed method leverages image block partitioning to embed the copyright watermark and the reversible watermark into non‐overlapping regions located inside and outside the inscribed circle of the image, respectively.
Wenjing Sun, Ling Zhang, Hongjun Zhang
wiley +1 more source
IMAGE DENOISING USING WAVELET AND SHEARLET TRANSFORM
International Journal of Research -GRANTHAALAYAH, 2017 Image plays an important role in this present technological world which further leads to progress in multimedia communication, various research field related to image processing, etc. The images are corrupted due to various noises which occur in nature and poor performance of electronic devices. The various types of noise patterns observed in the image
Bharath Kumar S +4 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
openaire +4 more sources
Radon transform inversion using the shearlet representation
, 2010 The inversion of the Radon transform is a classical ill-posed inverse problem where some method of regularization must be applied in order to accurately recover the objects of interest from the observable data. A well-known consequence of the traditional
Labate, Demetrio +3 more
core +1 more source
Provably Convergent Low‐Rank Grayscale Image Fusion via Adaptive Weighted Nuclear Norm Minimization
International Journal of Mathematics and Mathematical Sciences, Volume 2026, Issue 1, 2026.We propose a fully unsupervised, convex, and globally convergent framework for multimodal grayscale image fusion based on adaptive weighted nuclear norm minimization (WNNM). By formulating the fusion task as a low‐rank matrix recovery problem with data‐driven singular value reweighting, the method automatically preserves salient structural features ...
Gargi Trivedi, Muhammad Ahsan
wiley +1 more source