Results 61 to 70 of about 566 (171)
Grayscale Image Fusion Based on Finite Discrete Shearlet Transform [PDF]
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
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
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
Cone-Adapted Shearlets and Radon Transforms [PDF]
19 pages, 3 ...
Bartolucci F., De Mari F., De Vito E.
openaire +3 more sources
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
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
Hyperspectral Imaging: The Intelligent Eye to Uncover the Password of Plant Science
Hyperspectral imaging (HSI) has emerged as a powerful non‐destructive technique for characterisation of the plant phenotype and physiological traits. The ongoing development of cost‐effective hardware, coupled with standardised acquisition protocols and open‐access spectral libraries, is accelerating its integration with multi‐omics approaches to ...
Jingyan Song +17 more
wiley +1 more source
Abstract Breast cancer is one of the major causes of deaths in women. However, the early diagnosis is important for screening and control the mortality rate. Thus for the diagnosis of breast cancer at the early stage, a computer‐aided diagnosis system is highly required.
Kiran Jabeen +6 more
wiley +1 more source
Fast Finite Shearlet Transform
In recent years it has turned out that shearlets have the potential to retrieve directional information so that they became interesting for many applications. Moreover the continuous shearlet transform has the outstanding property to stem from a square integrable group representation.
Häuser, S., Steidl, G.
openaire +2 more sources
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

