Results 61 to 70 of about 15,597 (201)

Contribution of neural networks in image steganography, watermarking and encryption

IET Image Processing, 2023
In front of information fishing, it is necessary to protect the information to be circulated over public channel. The goal of this paper is to propose an approach which inserts a logo inside of cover image and having three different possible results ...
Maminiaina Alphonse Rafidison, Sabine Harisoa Jacques Rafanantenana, Andry Harivony Rakotomihamina, Rajaonarison Faniriharisoa Maxime Toky, Hajasoa Malalatiana Ramafiarisona   +4 more
doaj   +1 more source

A Hybrid Transfer Learning Framework for Brain Tumor Diagnosis

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
A novel hybrid transfer learning approach for brain tumor classification achieves 99.47% accuracy using magnetic resonance imaging (MRI) images. By combining image preprocessing, ensemble deep learning, and explainable artificial intelligence (XAI) techniques like gradient‐weighted class activation mapping and SHapley Additive exPlanations (SHAP), the ...
Sadia Islam Tonni, Md. Alif Sheakh, Mst. Sazia Tahosin, Md. Zahid Hasan, Taslima Ferdaus Shuva, Touhid Bhuiyan, Muhammad Ali Abdullah Almoyad, Nabil Anan Orka, Md. Tanvir Rahman, Risala Tasin Khan, M. Shamim Kaiser, Mohammad Ali Moni   +11 more
wiley   +1 more source

Missing Texture Reconstruction Method Based on Perceptually Optimized Algorithm

EURASIP Journal on Advances in Signal Processing, 2010
This paper presents a simple and effective missing texture reconstruction method based on a perceptually optimized algorithm. The proposed method utilizes the structural similarity (SSIM) index as a new visual quality measure for reconstructing missing ...
Ogawa Takahiro, Haseyama Miki
doaj  

VAE+DDPG: An Attention‐Enhanced Variational Autoencoder for Deep Reinforcement Learning‐Based Autonomous Navigation in Low‐Light Environments

Advanced Intelligent Systems, EarlyView.
Variational Autoencoder+Deep Deterministic Policy Gradient addresses low‐light failures of infrared depth sensing for indoor robot navigation. Stage 1 pretrains an attention‐enhanced Variational Autoencoder (Convolutional Block Attention Module+Feature Pyramid Network) to map dark depth frames to a well‐lit reconstruction, yielding a 128‐D latent code ...
Uiseok Lee, Chanhong Hwang, Hyunseok Kang, Yechan Park, Hangwoo Jin, Tuan Anh Nguyen, Eunmi Choi, Dugki Min   +7 more
wiley   +1 more source

MTCA‐Net: Multi‐Task Cascade Analysis Network for Real‐Time Sperm Quality Analysis

Advanced Intelligent Systems, EarlyView.
This article proposes MTCA‐Net, a multi‐task cascaded analysis network for real‐time sperm quality assessment in intracytoplasmic sperm injection. The framework integrates detection, tracking, and segmentation modules to jointly analyze sperm morphology and motility.
Jiajin Li, Wenwen Sun, Jun He, Xinyu Fan, Xuecheng Ge, Fengya Lu, Yadan Wang, Yi Wang, Zhiguo Zhang, Qibing Wu, Jinhua Zhou   +10 more
wiley   +1 more source

Deformable Attention Multiscale Feature Fusion Network‐Dehaze: An Adaptive Image Dehazing Method Based on Deformable Attention Multiscale Fusion Network

Advanced Intelligent Systems, EarlyView.
This paper presents the deformable attention multiscale feature fusion network‐dehaze adaptive image dehazing network, which integrates three core modules (revised residual shrinkage unit, multiscale attention, cross‐scale feature fusion). It incorporates deformable convolution and multiscale attention mechanisms to address the detail loss issue of ...
Ruipeng Wang, Yajun Chen, Hao Liu, Mingrui Li, Zhiqi Li   +4 more
wiley   +1 more source

CARE-MRI: Dual Channel-Hint Attention Block Integrated Residual Network for Brain MRI Image Denoising

International Journal of Computational Intelligence Systems
Brain stroke is one of the leading causes of neurological disability and imaging-based early identification is essential for effective diagnosis. However, existing models fail to effectively balance noise suppression with the preservation of critical ...
J. Sworna Jo Lijha, N. Muthukumaran
doaj   +1 more source

ATTNFNET: feature aware depth-to-pressure translation with cGAN training

Frontiers in Medical Technology
Excessive pressure and shear forces on bedridden patients can lead to pressure injuries, particularly on those with existing ulcers. Monitoring pressure distribution is crucial for preventing such injuries by identifying high-risk areas.
Neevkumar Manavar, Hanno Gerd Meyer, Joachim Waßmuth, Barbara Hammer, Axel Schneider   +4 more
doaj   +1 more source

Screen Window Propagating for Image Inpainting

IEEE Access, 2018
Image repair often has errors in filling. An exemplar-based technique has the advantage of filling texture and structure simultaneously, but there exist some problems with this, such as not considering the overall situation of inpainting, the ...
Huaming Liu, Xuehui Bi, Guanming Lu, Weilan Wang, Jingjie Yan, Zhengyan Zhang   +5 more
doaj   +1 more source

Automated Photogrammetric Tool for Landslide Recognition and Volume Calculation Using Time-Lapse Imagery

Remote Sensing
Digital photogrammetry has attracted widespread attention in the field of geotechnical and geological surveys due to its low-cost, ease of use, and contactless mode.
Zhipeng Liang, Fabio Gabrieli, Antonio Pol, Lorenzo Brezzi   +3 more
doaj   +1 more source