MPCFusion: Multi-scale parallel cross fusion for infrared and visible images via convolution and vision Transformer
The image fusion community is thriving with the wave of deep learning, and the most
popular fusion methods are usually built upon well-designed network structures. However …
popular fusion methods are usually built upon well-designed network structures. However …
LiMFusion: Infrared and visible image fusion via local information measurement
Most image fusion methods currently achieve satisfactory results under normal conditions.
However, in complex scenes, the problem of information conflict between source images …
However, in complex scenes, the problem of information conflict between source images …
MERF: A Practical HDR-Like Image Generator via Mutual-Guided Learning Between Multi-Exposure Registration and Fusion
In this paper, we present a novel high dynamic range (HDR)-like image generator that
utilizes mutual-guided learning between multi-exposure registration and fusion, leading to …
utilizes mutual-guided learning between multi-exposure registration and fusion, leading to …
Deep Rank-N Decomposition Network for Image Fusion
Existing deep neural network (DNN)-based image fusion methods seldom consider low-rank
priors for the decomposition of source images, which cannot efficiently model base and …
priors for the decomposition of source images, which cannot efficiently model base and …
CurveMEF: Multi-eposure fusion via curve embedding network
P Peng, Z Jing, H Pan, Y Liu, B Song - Neurocomputing, 2024 - Elsevier
Multi-exposure image fusion (MEF) aims to combine multiple images with different
exposures into a single image to improve visual quality and preserve details. This paper …
exposures into a single image to improve visual quality and preserve details. This paper …
HitFusion: Infrared and Visible Image Fusion for High-level Vision Tasks Using Transformer
J Chen, J Ding, J Ma - IEEE Transactions on Multimedia, 2024 - ieeexplore.ieee.org
This study proposes an innovative network to fuse infrared and visible images, called
HitFusion, which uses the cross-feature transformer module and is compatible with high …
HitFusion, which uses the cross-feature transformer module and is compatible with high …
Retinex‐inspired contrast stretch and detail boosting for lowlight image enhancement
Lowlight images with low brightness and contrast, blurry details usually bring us an
uncomfortable visual experience. To promote the quality of these deviation images, this …
uncomfortable visual experience. To promote the quality of these deviation images, this …
OFPF-MEF: An Optical Flow Guided Dynamic Multi-exposure Image Fusion Network with Progressive Frequencies Learning
In this paper, we propose a novel optical flow guided network with progressive frequencies
learning, achieving promising dynamic multi-exposure image fusion. Specifically, the …
learning, achieving promising dynamic multi-exposure image fusion. Specifically, the …
[PDF][PDF] Implementation of Patch-Wise Illumination Estimation for Multi-Exposure Image Fusion utilizing Convolutional Neural Network
ZS Abdulmohsin, SR Ahmed, KA Hussein - Journal of Baghdad College of …, 2024 - iasj.net
The clustered appearance of multi-exposure images is a result of the diverse range of study
in photo illumination estimate. The main aim of these experiments is to determine the …
in photo illumination estimate. The main aim of these experiments is to determine the …