Results 251 to 260 of about 298,074 (297)
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IEEE Transactions on Image Processing, 2012
The luminance of a natural scene is often of high dynamic range (HDR). In this paper, we propose a new scheme to handle HDR scenes by integrating locally adaptive scene detail capture and suppressing gradient reversals introduced by the local adaptation.
Mingli Song +5 more
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The luminance of a natural scene is often of high dynamic range (HDR). In this paper, we propose a new scheme to handle HDR scenes by integrating locally adaptive scene detail capture and suppressing gradient reversals introduced by the local adaptation.
Mingli Song +5 more
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Detail-Enhanced Exposure Fusion
IEEE Transactions on Image Processing, 2012In a typical processing chain of image enhancement, an exposure fusion scheme can be used to synthesize a more detailed low dynamic range (LDR) image directly from a set of differently exposed LDR images, without generation of an intermediate high dynamic range image. In this brief, we introduce a new quadratic optimization-based method to extract fine
Zhengguo Li +2 more
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Sparse Features for Multi-Exposure Fusion
High dynamic range (HDR) capture and display devices can be used to approximately mimic the human perception of gamut of colors and fine details.
Zeynep Ovgu Yayci, Mehmet Türkan
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Interactive Fusion for Multi-exposure Images
Proceedings of the 2020 8th International Conference on Information Technology: IoT and Smart City, 2020Exposure fusion methods are effective for directly fusing multi-exposure images to one high-quality image. Most exposure fusion methods can generate a more natural and visually pleasing image than tone-mapping methods, but they do not preserve so much fine details as tone-mapping methods, especially in the brightest and darkest regions.
Chunmeng Wang, Mingyi Bao, Chen He
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Generalized Exposure Fusion Weights Estimation
2014 Canadian Conference on Computer and Robot Vision, 2014Only a small part of the large intensities interval found in high dynamic range scenes can be captured with usual image sensors. This is why delivered images may contain under or overexposed pixels. A popular approach to overcome this problem is to take several images using different exposure parameters, and then fuse them into one single image.
Mohammed Elamine Moumene +2 more
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Multi-Exposure Fusion with CNN Features
2018 25th IEEE International Conference on Image Processing (ICIP), 2018Multi-exposure fusion (MEF) is a widely used approach to high dynamic range imaging. The selection of features for fusion weight calculation is important to the performance of MEF. In this paper, we investigate the effectiveness of convolutional neural network (CNN) features for MEF.
Hui Li 0029, Lei Zhang 0006
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Exposure Fusion for Time‐Of‐Flight Imaging
Computer Graphics Forum, 2011AbstractThis work deals with the problem of automatically choosing the correct exposure (or integration) time for time‐of‐flight depth image capturing. We apply methods known from high dynamic range imaging to combine depth images taken with differing integration times in order to produce high quality depth maps.
Uwe Hahne, Marc Alexa
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Motion-blur-free exposure fusion
2010 IEEE International Conference on Image Processing, 2010We present a novel approach to HDR (high-dynamic-range) image fusion that copes with image blur degradation often present in long-exposed images. The proposed approach can deal with both camera and object motion blur in a computationally efficient manner suitable for implementation on a mobile device. The main idea is to exploit the differences between
Marius Tico, Natasha Gelfand, Kari Pulli
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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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A novel deghosting method for exposure fusion
Multimedia Tools and Applications, 2018A novel ghost-free exposure fusion method for generating an HDR image of a dynamic scene is presented in this paper. Given a sequence of input images with gradually increased exposures, due to the theory that the luminance is linearly depended on the exposure time (Mertens et al.
Chunmeng Wang, Chen He
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