Results 11 to 20 of about 78,129 (256)
A Method for Fast Multi-Exposure Image Fusion
IEEE Access, 2017 This paper proposes a method for fusing multi-exposed images that can operate on digital cameras or smartphones. The proposed method consists of an automatic exposure bracketing algorithm that determines which exposures to capture and a newly proposed ...
Seungcheol Choi, Oh-Jin Kwon, Jinhee Lee
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Multi-exposure image fusion based on wavelet transform
International Journal of Advanced Robotic Systems, 2018 This article proposes a novel wavelet-based algorithm for the fusion of multi-exposed images. The luminance inversion is suppressed and the contrast of the fused image is enhanced, by introducing the brightness of input images into the well-exposedness ...
Wenlong Zhang +3 more
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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 +5 more
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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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Perceptual Multi-Exposure Fusion
CoRR, 2022 As an ever-increasing demand for high dynamic range (HDR) scene shooting, multi-exposure image fusion (MEF) technology has abounded. In recent years, multi-scale exposure fusion approaches based on detail-enhancement have led the way for improvement in highlight and shadow details.
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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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FAW for Multi-exposure Fusion Features [PDF]
, 2011 This paper introduces a process where fusion features assist matching scale invariant feature transform (SIFT) image features from high contrast scenes. FAW defines the order for extracting features: features, alignment then weighting. The process uses three quality measures to select features from a series of differently exposed images and select a ...
Michael May 0002 +2 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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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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Multi-Exposure Document Fusion Based on Edge-Intensities [PDF]
2009 10th International Conference on Document Analysis and Recognition, 2009 This paper presents a new algorithm for fusioning images of text-documents taken with different exposures.It is compared to several standard block oriented exposure- and focus-blending-algorithms.The recognition rate of a publicly available OCR-engine is used as a benchmark to quantify the results.Experiments show in average an improvement in the ...
Marco Block +3 more
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