Multi-Exposure Fusion of Gray Images Under Low Illumination Based on Low-Rank Decomposition
Existing multi-exposure fusion (MEF) algorithms for gray images under low-illumination cannot preserve details in dark and highlighted regions very well, and the fusion image noise is large. To address these problems, an MEF method is proposed.
Ting Nie +7 more
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Automatic Exposure Compensation for Multi-Exposure Image Fusion [PDF]
This paper proposes a novel luminance adjustment method based on automatic exposure compensation for multi-exposure image fusion. Multi-exposure image fusion is a method to produce images without saturation regions, by using photos with different exposures.
Yuma Kinoshita +2 more
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Multi-Task Learning Approach Using Dynamic Hyperparameter for Multi-Exposure Fusion
High-dynamic-range (HDR) image synthesis is a technology developed to accurately reproduce the actual scene of an image on a display by extending the dynamic range of an image.
Chan-Gi Im +3 more
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Saturation-based quality assessment for colorful multi-exposure image fusion
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 +4 more
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Reconstructing a High Dynamic Range Image With a Deeply Unsupervised Fusion Model
To well record a high-dynamic-range (HDR) natural scene, multi-exposure images fusion is an affordable and convenient option, which is a hotspot in the field of HDR imaging. In this paper, we propose a deep learning-based method to address multi-exposure
Xinglin Hou, Junchao Zhang, Peipei Zhou
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Information-Theoretic Channel for Multi-exposure Image Fusion
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 +7 more
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Multi-Exposure Image Fusion Based on Exposure Compensation [PDF]
This paper proposes a novel multi-exposure image fusion method based on exposure compensation. Multi-exposure image fusion is a method to produce images without color saturation regions, by using photos with different exposures. However, in conventional works, it is unclear how to determine appropriate exposure values, and moreover, it is difficult to ...
Yuma Kinoshita +3 more
openaire +2 more sources
FDD-MEF: Feature-Decomposition-Based Deep Multi-Exposure Fusion
Multi-exposure image fusion is an effective algorithm for fusing differently exposed low dynamic range (LDR) images to a high dynamic range (HDR) images.
Jong-Han Kim, Je-Ho Ryu, Jong-Ok Kim
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A Multi-exposure Image Fusion Method with Detail Preservation
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 +4 more
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Multi-Exposure Image Fusion Algorithm for Dynamic Scene with Midway Histogram Equalization [PDF]
To solve the problem of ghosting in multi-exposure fusion images in dynamic scenes, this study proposes a dynamic multi-exposure image fusion algorithm with midway histogram equalization.First, Midway Image Equalization (MIE) is introduced to process the
WANG Shupeng, HE Rui, WANG Yujing, ZHAO Yao
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