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Multi-Exposure Image Fusion by Optimizing A Structural Similarity Index

IEEE Transactions on Computational Imaging, 2018
We propose a multi-exposure image fusion (MEF) algorithm by optimizing a novel objective quality measure, namely the color MEF structural similarity (MEF-SSIM $_c$ ) index. The design philosophy we introduce here is substantially different from existing ones.
Kede Ma   +3 more
openaire   +1 more source

Ghosting-free multi-exposure image fusion in gradient domain

2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016
This paper presents an algorithm to produce ghosting-free High Dynamic Range (HDR) image by fusing set of multiple exposed images in gradient domain. Recently proposed Gradient domain based exposure fusion method provides high quality result but the scope of which is limited to static camera without foreground object motion.
K. Ram Prabhakar, R. Venkatesh Babu
openaire   +1 more source

Fusion of multi-exposure images using recursive and Gaussian filter

Multidimensional Systems and Signal Processing, 2019
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Vishal Chaudhary, Vinay Kumar
openaire   +2 more sources

Overview of Multi-Exposure Image Fusion

2021 International Conference on Electronic Communications, Internet of Things and Big Data (ICEIB), 2021
Yanfeng Li, Mingyang Liu, Kaixu Han
openaire   +1 more source

Multi-Exposure and Multi-Focus Image Fusion in Gradient Domain

Journal of Circuits, Systems and Computers, 2016
A multi-exposure and multi-focus image fusion algorithm is proposed. The algorithm is developed for color images and is based on blending the gradients of the luminance components of the input images using the maximum gradient magnitude at each pixel location and then obtaining the fused luminance using a Haar wavelet-based image reconstruction ...
Sujoy Paul   +2 more
openaire   +1 more source

A multi-exposure image fusion algorithm without ghost effect

2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2011
This paper proposes a new multi-exposure fusion algorithm for HDR imaging. The advantage of the fusion based method is that it does not actually generate HDR images so that the compression to LDR is also not needed. However, the conventional exposure fusion suffers from ghost effects when there are moving object or hand trembling because the output is ...
Jaehyun An   +3 more
openaire   +1 more source

A Variational Multi-Scale Model for Multi-Exposure Image Fusion

IEEE Transactions on Image Processing
Multi-exposure image fusion (MEF) is the main method to obtain High Dynamic Range (HDR) images by fusing multiple images taken under various exposure values. In this paper, we propose and develop a novel variational model based on detail-base decomposition for MEF.
Yuming Yang, Wei Wang 0132
openaire   +2 more sources

Fusion of Multi-view Multi-exposure Images with Delaunay Triangulation

2016
In this paper, we present a completely automatic method for multi-view multi-exposure image fusion. The technique adopts the normalized cross-correlation NCC as the measurement of the similarity of interest points. With the matched feature points, we divide images into a set of triangles by Delaunay triangulation. Then we apply affine transformation to
Hanyi Yu, Yue Zhou 0005
openaire   +1 more source

An efficient multi-exposure image fusion algorithm

2022 4th International Conference on Frontiers Technology of Information and Computer (ICFTIC), 2022
Songtong Lei   +3 more
openaire   +1 more source

HoLoCo: Holistic and local contrastive learning network for multi-exposure image fusion

Information Fusion, 2023
Jinyuan Liu   +2 more
exaly  

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