Results 41 to 50 of about 90 (86)

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

Infrared and visible image fusion using NSCT-HRCNN: a training-free feature extraction approach

Complex & Intelligent Systems
Infrared and visible images capture distinct environmental features that image fusion can integrate into a single, information-rich representation. Traditional fusion algorithms often struggle with low precision, color distortion, and detail loss, while ...
Haoran Liu, Yiran Chen, Peng Li, Mingzhe Liu, Haihua Ding, Mingrong Xiang, Shihao Zhao, Peiran Dai   +7 more
doaj   +1 more source

NSCT-Based Robust and Perceptual Watermarking for DIBR 3D Images

IEEE Access, 2020
Depth-image-based rendering (DIBR), where arbitrary views are synthesized from a center image and depth image, has received much attention in the three-dimensional (3D) research field.
Seung-Hun Nam, Seung-Min Mun, Wonhyuk Ahn, Dongkyu Kim, In-Jae Yu, Wook-Hyung Kim, Heung-Kyu Lee   +6 more
doaj   +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., Vanajaroselin Chirchi, Sivakumar T. A., Gururama Senthilvel P., Duraimutharasan N., Eugenio Vocaturo   +5 more
wiley   +1 more source

Remote Sensing Image Reconstruction Method Based on Parameter Adaptive Dual-Channel Pulse-Coupled Neural Network to Optimize Multiscale Decomposition

IEEE Access, 2023
Existing image processing methods usually divide image denoising and image fusion into two directions for research, and even the best current image denoising methods such as DnCNN can cause information loss during image processing, and the image fusion ...
Pengcheng Hu, Shihua Tang, Yan Zhang, Xiaohui Song, Mengbo Sun   +4 more
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

Comparative Analysis of Pixel-Level Fusion Algorithms and a New High-Resolution Dataset for SAR and Optical Image Fusion

Remote Sensing, 2023
Synthetic aperture radar (SAR) and optical images often present different geometric structures and texture features for the same ground object. Through the fusion of SAR and optical images, it can effectively integrate their complementary information ...
Jinjin Li, Jiacheng Zhang, Chao Yang, Huiyu Liu, Yangang Zhao, Yuanxin Ye   +5 more
doaj   +1 more source

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, Chaoqi Chen, Qiang Liu, Feng Shao   +3 more
wiley   +1 more source

Lithium-Ion Battery Capacity Estimation: A Method Based on Visual Cognition

Complexity, 2017
This study introduces visual cognition into Lithium-ion battery capacity estimation. The proposed method consists of four steps. First, the acquired charging current or discharge voltage data in each cycle are arranged to form a two-dimensional image ...
Yujie Cheng, Laifa Tao, Chao Yang
doaj   +1 more source

An infrared and visible image fusion network based on multi‐scale feature cascades and non‐local attention

IET Image Processing, Volume 18, Issue 8, Page 2114-2125, 19 June 2024.
This paper introduces a novel infrared and visible image fusion network to address the limitations of auto‐encoder fusion networks. In the designed network, the encoder employs a multi‐branch cascade structure with convolution kernels of different sizes to extract multi‐scale features, and the fusion layer incorporates a non‐local attention module ...
Jing Xu, Zhenjin Liu, Ming Fang
wiley   +1 more source