Results 41 to 50 of about 1,112 (156)

A Robust Reversible Watermarking Algorithm Resistant to Geometric Attacks Based on Tchebichef Moments

open access: yesIET 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

Shearlets and Optimally Sparse Approximations

open access: yes, 2011
Multivariate functions are typically governed by anisotropic features such as edges in images or shock fronts in solutions of transport-dominated equations.
DL Donoho   +12 more
core   +1 more source

A Secure and Robust Blockchain‐Based Medical Image Encryption Approach Using Lorenz Chaotic System

open access: yesJournal of Sensors, Volume 2026, Issue 1, 2026.
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

New Frontiers of Fractal Uncertainty

open access: yesFractal and Fractional
We 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

Hyperspectral Imaging: The Intelligent Eye to Uncover the Password of Plant Science

open access: yesModern Agriculture, Volume 3, Issue 2, December 2025.
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

An Efficient Skin Cancer Diagnostic System Using Bendlet Transform and Support Vector Machine

open access: yesAnais da Academia Brasileira de Ciências
Skin 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

Linear independence of compactly supported separable shearlet systems

open access: yes, 2015
This paper examines linear independence of shearlet systems. This property has already been studied for wavelets and other systems such as, for instance, for Gabor systems.
Ma, Jackie, Petersen, Philipp
core   +1 more source

An EfficientNet integrated ResNet deep network and explainable AI for breast lesion classification from ultrasound images

open access: yesCAAI Transactions on Intelligence Technology, Volume 10, Issue 3, Page 842-857, June 2025.
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

A Time‐Adaptive Diffusion‐Based CT Image Denoising Method by Processing Directional and Non‐Local Information

open access: yesInternational 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

Analysis of Inpainting via Clustered Sparsity and Microlocal Analysis [PDF]

open access: yes, 2012
Recently, compressed sensing techniques in combination with both wavelet and directional representation systems have been very effectively applied to the problem of image inpainting.
King, Emily J.   +2 more
core  

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