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IET Image Processing, Volume 20, Issue 1, January/December 2026.This study presents a robust facial recognition framework based on a unified optimised feature vector that fuses handcrafted descriptors and deep learning embeddings. Using binary grey wolf optimisation for feature selection, the approach reduces redundancy while preserving discriminative power.
Farid Ayeche, Adel Alti
wiley +1 more source
High Capacity Audio Steganography Based on Contourlet Transform
Tikrit Journal of Engineering Sciences, 2022 The science of hiding information behind other cover media file is known steganography. Audio steganography means that a secret message is hidden by embedding it in an audio file.
Abbas Salman Hameed
doaj
Contourlet textual features: improving the diagnosis of solitary pulmonary nodules in two dimensional CT images. [PDF]
PLoS ONE, 2014 To determine the value of contourlet textural features obtained from solitary pulmonary nodules in two dimensional CT images used in diagnoses of lung cancer.A total of 6,299 CT images were acquired from 336 patients, with 1,454 benign pulmonary nodule ...
Jingjing Wang +13 more
doaj +1 more source
Quantum Machine Learning Applications to Medical Images: A Survey
IET Quantum Communication, Volume 7, Issue 1, January/December 2026.In this review paper, we provide an outline of quantum neural networks (QNNs), quantum convolution neural networks (QCNNs) and various hybrid models. We also explore human brain‐inspired quantum neuromorphic computing by the quantum spiking neural networks (QSNN).
Mahua Nandy Pal +2 more
wiley +1 more source
International Journal of Information and Communication Technology Research, 2010 Steganalysis techniques have been classified into two major categories: blind steganalysis which is independent of the steganography method and specific steganalysis which attempts to detect specific steganographic media.
Mansoureh Pezhmanpour +2 more
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Applied Computational Intelligence and Soft Computing, Volume 2026, Issue 1, 2026.The invention of infrastructure facilities in intelligent transportation systems is skyrocketing every day. The improvements in such things have many pros and cons. For instance, the accident rate increases due to a rise in the number of vehicles and changes in weather conditions.
K. P. Risha +4 more
wiley +1 more source
A CONTOURLET DOMAIN WATERMARKING ALGORITHM
International Journal of Image Processing and Vision Science, 2013 This paper presents a blind watermarking algorithm for digital images based on contourlet transform. After Contourlet transform, original image is decomposed into a series of multiscale, local and directional sub images. Each blocks of Arnold transformed watermark image, is embedded into suitable blocks of low pass coefficients of the contourlet ...
N.R. BRINTA, P.R. BIPIN
openaire +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
SAR and Infrared Image Fusion in Complex Contourlet Domain Based on Joint Sparse Representation
Leida xuebao, 2017 To investigate the problems of the large grayscale difference between infrared and Synthetic Aperture Radar (SAR) images and their fusion image not being fit for human visual perception, we propose a fusion method for SAR and infrared images in the ...
Wu Yiquan, Wang Zhilai
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Algorithm for Iris recognition based on contourlet Transform and Entropy
ELCVIA Electronic Letters on Computer Vision and Image Analysis, 2020 The iris is one of the most secure biometric information that is widely employed in authentication systems. In this paper we present a method for iris recognition based on the Contourlet Transform and Entropy which entails i) the detection and ...
Ayoub Ezzaki +3 more
doaj +1 more source