Results 21 to 30 of about 46,419 (286)
Fast and Effective Scene Segmentation Method for Luminance Adjustment of Multi-Exposure Image
IEEE Access, 2023 Multi-exposure image fusion is an important task for high dynamic range imaging. The performance of a fusion method is highly dependent on the quality of the input multi-exposure image.
Seiichi Kojima, Noriaki Suetake
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Searching a Compact Architecture for Robust Multi-Exposure Image Fusion
IEEE Transactions on Circuits and Systems for Video TechnologyIn recent years, learning-based methods have achieved significant advancements in multi-exposure image fusion. However, two major stumbling blocks hinder the development, including pixel misalignment and inefficient inference. Reliance on aligned image pairs in existing methods causes susceptibility to artifacts due to device motion.
Zhu Liu 0004 +5 more
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Multi-Exposure Image Fusion Algorithm for Dynamic Scene with Midway Histogram Equalization [PDF]
Jisuanji gongcheng, 2022 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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IEEE Access, 2020 Multi-scale exposure fusion is a powerful approach to fuse variously low dynamic range images into a high quality image. Fine and attractive information of source images is added in the resultant image.
Hira Kanwal +5 more
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Multi-Exposure Image Fusion Based on Weighted Average Adaptive Factor and Local Detail Enhancement
Applied Sciences, 2022 In order to adapt to the local brightness and contrast of input image sequences, we propose a new weighted average adaptive factor well-exposure weight evaluation scheme.
Dou Wang +8 more
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General Image Fusion for an Arbitrary Number of Inputs Using Convolutional Neural Networks
Sensors, 2022 In this paper, we propose a unified and flexible framework for general image fusion tasks, including multi-exposure image fusion, multi-focus image fusion, infrared/visible image fusion, and multi-modality medical image fusion. Unlike other deep learning-
Yifan Xiao +3 more
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Automatic Exposure Compensation for Multi-Exposure Image Fusion [PDF]
2018 25th IEEE International Conference on Image Processing (ICIP), 2018 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‐exposure image fusion based on feature evaluation with adaptive factor
IET Image Processing, 2021 The authors present a new multi‐exposure images fusion method based on feature evaluation with adaptive factor. It is noticed the existing multi‐exposure fusion algorithm is not well adapted to the input images, which are overall bright or dark, the ...
Li Huang, Zhengping Li, Chao Xu, Bo Feng
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Multi-Exposure Image Fusion Based on Exposure Compensation [PDF]
2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018 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
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Deep Gradual Multi-Exposure Fusion Via Recurrent Convolutional Network
IEEE Access, 2021 The performance of multi-exposure image fusion (MEF) has been recently improved with deep learning techniques but there are still a couple of problems to be overcome.
Je-Ho Ryu, Jong-Han Kim, Jong-Ok Kim
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