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An Improved Multi-Exposure Image Fusion Algorithm

Advanced Materials Research, 2011
An improved Multi-Exposure image fusion scheme is proposed to fuse visual images for wide range illumination applications. While previous image fusion approaches perform the fusion only concern with local details such as regional contrast and gradient, the proposed algorithm takes global illumination contrast into consideration at the same time; this ...
Hu Yan Xiang, Xi Rong Ma
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Multi-exposure image fusion via deep perceptual enhancement

Information Fusion, 2022
Abstract Due to the huge gap between the high dynamic range of natural scenes and the limited (low) range of consumer-grade cameras, a single-shot image can hardly record all the information of a scene. Multi-exposure image fusion (MEF) has been an effective way to solve this problem by integrating multiple shots with different exposures, which is in
Dong Han, Xiaojie Guo, Jiayi Ma
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Multi-exposure Image Fusion Using Propagated Image Filtering

, 2016
Image fusion is the process of combining multiple images of a same scene to single high-quality image which has more information than any of the input images. In this paper, we propose a new fusion approach in a spatial domain using propagated image filter.
Diptiben Patel, Bhoomika Sonane, Shanmuganathan Raman   +2 more
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Ghosting-free DCT based multi-exposure image fusion

Signal Processing: Image Communication, 2019
Abstract We propose a novel algorithm for multi-exposure fusion (MEF). This algorithm decomposes image patches with the DCT transform. Coefficients from patches with different exposure are combined. The luminance and chrominance of the different images are fused separately. The algorithm adapts to dynamic sequences in order to avoid ghosting effects.
Onofre Martorell, Catalina Sbert, Antoni Buades   +2 more
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Multi-Exposure Image Fusion via Deformable Self-Attention

IEEE Transactions on Image Processing, 2023
Most multi-exposure image fusion (MEF) methods perform unidirectional alignment within limited and local regions, which ignore the effects of augmented locations and preserve deficient global features. In this work, we propose a multi-scale bidirectional alignment network via deformable self-attention to perform adaptive image fusion.
Jun Luo, Wenqi Ren, Xiaochun Cao
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Interactive Fusion for Multi-exposure Images

Proceedings of the 2020 8th International Conference on Information Technology: IoT and Smart City, 2020
Exposure fusion methods are effective for directly fusing multi-exposure images to one high-quality image. Most exposure fusion methods can generate a more natural and visually pleasing image than tone-mapping methods, but they do not preserve so much fine details as tone-mapping methods, especially in the brightest and darkest regions.
Chunmeng Wang, Mingyi Bao, Chen He
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Deep Multi-Exposure Image Fusion for Dynamic Scenes

IEEE Transactions on Image Processing, 2023
Recently, learning-based multi-exposure fusion (MEF) methods have made significant improvements. However, these methods mainly focus on static scenes and are prone to generate ghosting artifacts when tackling a more common scenario, i.e., the input images include motion, due to the lack of a benchmark dataset and solution for dynamic scenes.
Xiao Tan 0004, Huaian Chen, Rui Zhang 0120, Qihan Wang, Yan Kan, Jinjin Zheng, Yi Jin 0002, Enhong Chen   +7 more
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Multi-exposure images of wavelet transform fusion

SPIE Proceedings, 2013
In many cases, the image acquisition devices have a limited dynamic range, which is lower than one encounter in the real world. The capture image from the camera can not reflect the high dynamic range. According to different exposure time of images in the same scene, it apply the Laplace sharpening the images and enhancing their details, and it use ...
Jianbo Xu, Youjun Huang, Jianli Wang
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An Improved Multi-Exposure Image Fusion Method for Intelligent Transportation System

Electronics (Switzerland), 2021
In this paper, an improved multi-exposure image fusion method for intelligent transportation systems (ITS) is proposed. Further, a new multi-exposure image dataset for traffic signs, TrafficSign, is presented to verify the method.
Mingyu Gao, Junfan Wang, Chenjie Du
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Enhancing image visuality by multi-exposure fusion

Pattern Recognition Letters, 2019
Abstract Image visuality enhancement aims at increasing visual quality of a given image to convey more useful information. The key for visuality enhancement is to comprehensively exploit the details of the image scene. However, one (or several) observed image only provides partial information of the scene.
Qingsen Yan, Yu Zhu 0004, Yulin Zhou, Jinqiu Sun, Lei Zhang 0054, Yanning Zhang 0001   +5 more
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