Results 61 to 70 of about 762,837 (162)
Multimodal Medical Image Fusion in Spatial‐Transformed Domains
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
IMAGE DENOISING USING WAVELET AND SHEARLET TRANSFORM
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
openaire +3 more sources
A Novel Adaptive Shrinkage Threshold on Shearlet Transform for Image Denoising
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
Blind Image Watermark Detection Algorithm Based on Discrete Shearlet Transform Using Statistical Decision Theory [PDF]
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
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
Imaging data fusion is becoming a bottleneck in clinical applications and translational research in medical imaging. This study aims to incorporate a novel multimodality medical image fusion technique into the shearlet domain.
Manoj Diwakar +7 more
doaj +1 more source
Radon transform inversion using the shearlet representation
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
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
A Secure and Robust Blockchain‐Based Medical Image Encryption Approach Using Lorenz Chaotic System
Keeping medical images confidential while transmitting is crucial, especially in an open networking environment. One effective approach is blockchain‐based encryption, which provides strong security for sensitive healthcare data. To ensure the greatest levels of medical data integrity and authenticity, our proposed scheme employs a unique Lorenz ...
Fahima Hajjej +4 more
wiley +1 more source
Sparse directional image representations using the discrete shearlet transform
In spite of their remarkable success in signal processing applications, it is now widely acknowledged that traditional wavelets are not very effective in dealing multidimensional signals containing distributed discontinuities such as edges.
Labate, Demetrio +2 more
core +1 more source

