Results 41 to 50 of about 306 (168)
Multispectral image fusion technique based on decoupling of information
IET Image Processing, Volume 19, Issue 1, January/December 2025.A multispectral image fusion method based on information decoupling is proposed to address the issue of unremarkable targets and the serious loss of background details. In accordance with the U‐shaped network structure, multi‐scale feature fusion is employed to obtain comprehensive contextual features.
Wenqi Yu +3 more
wiley +1 more source
An Unsupervised Image Enhancement Method Based on Adaptation Region Divisions
IET Image Processing, Volume 19, Issue 1, January/December 2025.This paper proposes an image enhancement method that combines traditional techniques with deep learning. It converts images to Lab color space, calculates texture complexity, adaptation region divisions and uses a convolutional autoencoder for noise reduction.
Kaijun Zhou, Weiyi Yuan, Yemei Qin
wiley +1 more source
Improved Image Fusion Method Based on NSCT and Accelerated NMF
Sensors, 2012 In order to improve algorithm efficiency and performance, a technique for image fusion based on the Non-subsampled Contourlet Transform (NSCT) domain and an Accelerated Non-negative Matrix Factorization (ANMF)-based algorithm is proposed in this paper ...
Mingdong Li, Siyu Lai, Juan Wang
doaj +1 more source
IET Image Processing, Volume 19, Issue 1, January/December 2025.A dual‐branch enhancement structure comprising greyscale feature map prediction and atmospheric light transmission network is proposed to remove noise from the images and enhance texture information, jointly generating enhanced visible light polarization images.
Xin Zhang +4 more
wiley +1 more source
Medical Image Fusion Using Unified Image Fusion Convolutional Neural Network
International Journal of Intelligent Systems, Volume 2025, Issue 1, 2025.Medical image fusion (IF) is a process of registering and combining numerous images from multiple‐ or single‐imaging modalities to enhance image quality and lessen randomness as well as redundancy for increasing the clinical applicability of the medical images to diagnose and evaluate clinical issues.
Balasubramaniam S. +5 more
wiley +1 more source
Poisson–Gaussian Noise Analysis and Estimation for Low-Dose X-ray Images in the NSCT Domain
Sensors, 2018 The noise distribution of images obtained by X-ray sensors in low-dosage situations can be analyzed using the Poisson and Gaussian mixture model. Multiscale conversion is one of the most popular noise reduction methods used in recent years. Estimation of
Sangyoon Lee, Min Seok Lee, Moon Gi Kang
doaj +1 more source
Enhancing low‐light images with lightweight fused fixed‐directional filters network
IET Image Processing, Volume 18, Issue 13, Page 3976-3988, 13 November 2024.Fixed‐directional filters network is a novel low‐light image enhancement model that significantly reduces parameter consumption while maintaining high‐quality results. Using a multi‐ branch architecture with conventional convolutional layers and wavelet transform‐based non‐linear mapping layers, fixed‐directional filters network achieves superior ...
Yang Li
wiley +1 more source
Image denoising by random walk with restart Kernel and non-subsampled contourlet transform
IET Signal Processing, 2012 To address the drawbacks of continuous partial differential equations, a diffusion method based on spectral graph theory and random walk with restart kernel is proposed, which uses non-subsampled contourlet transform to capture the geometric feature of image.
Guojin Liu, Xiaoping Zeng, Y. Liu
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Multi‐domain pseudo‐reference quality evaluation for infrared and visible image fusion
IET Image Processing, Volume 18, Issue 13, Page 4095-4113, 13 November 2024.A multi‐domain pseudo‐reference image quality assessment model to solve the challenging non‐reference quality evaluation for infrared and visible image fusion is proposed. In addition, an opening benchmark infrared‐visible fusion image quality assessment dataset with corresponding mean opinion scores on 16,200 subjective scores by 30 participants is ...
Xiangchao Meng +3 more
wiley +1 more source
Fusion of Infrared and Visible Images Based on Non-subsample Contourlet Transform
TELKOMNIKA (Telecommunication Computing Electronics and Control), 2016 For the single spectrum image could not fully express the target feature information, this paper proposed a multispectral image fusion method based on non-subsample contourlet transform (NSCT). For the low frequency coefficients decomposed, fourth-order correlation coefficient is used to calculate the correlation between each low frequency coefficients,
Tingman Zhang, Qing Wang
openaire +1 more source