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Generalized Random Walks for Fusion of Multi-Exposure Images
IEEE Transactions on Image Processing, 2011A single captured image of a real-world scene is usually insufficient to reveal all the details due to under- or over-exposed regions. To solve this problem, images of the same scene can be first captured under different exposure settings and then combined into a single image using image fusion techniques.
Rui Shen 0002 +3 more
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Multi-exposure image fusion based on tensor decomposition
Multimedia Tools and Applications, 2020In this paper, a multi-exposure image fusion (MEF) method is proposed based on tensor decomposition and saliency model. The main innovation of the proposed method is to explore a tensor domain for MEF and define the fusion rules based on tensor feature of higher order singular value decomposition (HOSVD) and saliency.
Shengcong Wu +3 more
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Multi-exposure image fusion: A patch-wise approach
2015 IEEE International Conference on Image Processing (ICIP), 2015We propose a patch-wise approach for multi-exposure image fusion (MEF). A key step in our approach is to decompose each color image patch into three conceptually independent components: signal strength, signal structure and mean intensity. Upon processing the three components separately based on patch strength and exposedness measures, we uniquely ...
Kede Ma, Zhou Wang 0001
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Fusion of multi-exposure images
Image and Vision Computing, 2005A method for fusing multi-exposure images of a static scene taken by a stationary camera into an image with maximum information content is introduced. The method partitions the image domain into uniform blocks and for each block selects the image that contains the most information within that block.
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Pseudo multi-exposure fusion using a single image
2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), 2017This paper proposes a novel pseudo multi-exposure image fusion based on a single image. Multi-exposure image fusion is a method to produce images without saturation regions, by using photos with different exposures. However, it is difficult to take photos suited for the multi-exposure image fusion when we take a photo of dynamic scenes or record a ...
Yuma Kinoshita +3 more
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A Novel Fusion Approach of Multi-exposure Image
EUROCON 2007 - The International Conference on "Computer as a Tool", 2007A method based on genetic algorithms (GA) for fusing multiple images of a static scene into an image with maximum information content is introduced. It partitions the image domain into uniform blocks and for each block selects the image that contains the most information within that block.
Jun Kong +4 more
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Perceptual Evaluation for Multi-Exposure Image Fusion of Dynamic Scenes
IEEE Transactions on Image Processing, 2020A common approach to high dynamic range (HDR) imaging is to capture multiple images of different exposures followed by multi-exposure image fusion (MEF) in either radiance or intensity domain. A predominant problem of this approach is the introduction of the ghosting artifacts in dynamic scenes with camera and object motion.
Yuming Fang 0001 +4 more
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Dynamic Scene Multi-Exposure Image Fusion
IETE Journal of Education, 2018ABSTRACTExposure fusion is performed on multi-exposure image sequence to obtain the well-exposed image, which contains the details corresponding to the entire dynamic range. However, while capturing multi-exposure image sequence new objects can appear/disappear from the image sequence, thus resulting in ghost effect in the fused image.
Uzmanaz A. Shaikh +2 more
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Deep Guided Learning for Fast Multi-Exposure Image Fusion
IEEE Transactions on Image Processing, 2020We propose a fast multi-exposure image fusion (MEF) method, namely MEF-Net, for static image sequences of arbitrary spatial resolution and exposure number. We first feed a low-resolution version of the input sequence to a fully convolutional network for weight map prediction. We then jointly upsample the weight maps using a guided filter.
Kede Ma +4 more
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An improved algorithm of multi-exposure image fusion by detail enhancement
Multimedia Systems, 2020Multi-exposure image fusion is an effective method for depicting high dynamic range of the target scene in a single image. However, there are still some problems remaining: the preserving of global contrast, the preserving of the local details in saturated regions, and the existence of halo artifacts.
Zhong Qu, Xu Huang, Ling Liu
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