Results 11 to 20 of about 46,419 (286)

Saturation-based quality assessment for colorful multi-exposure image fusion

International Journal of Advanced Robotic Systems, 2017
Multi-exposure image fusion is becoming increasingly influential in enhancing the quality of experience of consumer electronics. However, until now few works have been conducted on the performance evaluation of multi-exposure image fusion, especially ...
Chenwei Deng, Zhen Li, Shuigen Wang, Xun Liu, Jiahui Dai   +4 more
doaj   +2 more sources

A Multi-exposure Image Fusion Method with Detail Preservation

MATEC Web of Conferences, 2018
In view of the problems of uneven exposure in the image acquisition and the serious loss of details in the traditional multi-exposure image fusion algorithm, a method of image fusion with details preservation is proposed.
Shouhong Chen, Shuang Zhao, Jun Ma, Xinyu Liu, Xingna Hou   +4 more
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Information-Theoretic Channel for Multi-exposure Image Fusion

The Computer Journal, 2021
Abstract Multi-exposure image fusion has emerged as an increasingly important and interesting research topic in information fusion. It aims at producing an image with high quality by fusing a set of differently exposed images. In this article, we present a pixel-level method for multi-exposure image fusion based on an information ...
Qiaohong Hao, Qi Zhao, Mateu Sbert, Qinghe Feng, Cosmin Ancuti, Miquel Feixas, Màrius Vila, Jiawan Zhang   +7 more
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Research on optimized multi-exposure image fusion method for improving information entropy in high-brightness region: Based on developing grayscale feature weight matrix. [PDF]

PLoS ONE
This study serves as a preliminary work for image measurement, aiming to support image-based analysis or measurement tasks of high-brightness light environments. Overexposure can lead to significant loss of information in high-brightness areas of images.
Dingran Qu, Yandan Lin
doaj   +2 more sources

HCNet: Multi-Exposure High-Dynamic-Range Reconstruction Network for Coded Aperture Snapshot Spectral Imaging [PDF]

Sensors
Coded Aperture Snapshot Spectral Imaging (CASSI) is a rapid hyperspectral imaging technique with broad application prospects. Due to limitations in three-dimensional compressed data acquisition modes and hardware constraints, the compressed measurements ...
Hang Shi, Jingxia Chen, Yahui Li, Pengwei Zhang, Jinshou Tian   +4 more
doaj   +2 more sources

Single image defogging via multi-exposure image fusion and detail enhancement

Journal of Safety Science and Resilience
Outdoor cameras play an important role in monitoring security and social governance. As a common weather phenomenon, haze can easily affect the quality of camera shooting, resulting in loss and distortion of image details. This paper proposes an improved
Wenjing Mao, Dezhi Zheng, Minze Chen, Juqiang Chen   +3 more
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Deep Learning-Based Patch-Wise Illumination Estimation for Enhanced Multi-Exposure Fusion

IEEE Access, 2023
This article suggests a unique technique for multi-exposure fusion using convolutional neural networks (CNNs) for patch-wise illumination estimates. Multi-exposure fusion is a crucial component of enhancing image quality, particularly in circumstances ...
Zainab AlZamili, Kassem M. Danach, Mondher Frikha   +2 more
doaj   +1 more source

Two-Exposure Image Fusion Based on Optimized Adaptive Gamma Correction

Sensors, 2021
In contrast to conventional digital images, high-dynamic-range (HDR) images have a broader range of intensity between the darkest and brightest regions to capture more details in a scene.
Yan-Tsung Peng, He-Hao Liao, Ching-Fu Chen   +2 more
doaj   +1 more source

Multi-exposure electric power monitoring image fusion method without ghosting based on exposure fusion framework and color dissimilarity feature

Frontiers in Neurorobotics, 2023
To solve the ghosting artifacts problem in dynamic scene multi-scale exposure fusion, an improved multi-exposure fusion method has been proposed without ghosting based on the exposure fusion framework and the color dissimilarity feature of this study ...
Sichao Chen, Zhenfei Li, Dilong Shen, Yunzhu An, Jian Yang, Bin Lv, Guohua Zhou   +6 more
doaj   +1 more source

EMEF: Ensemble Multi-Exposure Image Fusion

Proceedings of the AAAI Conference on Artificial Intelligence, 2023
Although remarkable progress has been made in recent years, current multi-exposure image fusion (MEF) research is still bounded by the lack of real ground truth, objective evaluation function, and robust fusion strategy. In this paper, we study the MEF problem from a new perspective.
Renshuai Liu, Chengyang Li, Haitao Cao 0006, Yinglin Zheng, Ming Zeng 0008, Xuan Cheng   +5 more
openaire   +2 more sources