Results 191 to 200 of about 1,772,148 (233)
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Camera Identification from HDR Images
Proceedings of the ACM Workshop on Information Hiding and Multimedia Security, 2019Performance of camera identification methods based on PRNU is very sensitive to geometric operations applied to images during acquisition and processing. Handling images that have been geometrically transformed, such as rotated, downsampled, and/or cropped requires overcoming pixel desynchronization problem.
Morteza Darvish Morshedi Hosseini +1 more
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Objective HDR image quality assessment
Multimedia Tools and Applications, 2018Although there is a lot of literature about generating HDR images, very limited research has been conducted on the issue of HDR image quality based on people’s feeling and preferences. The goal of this paper is to identify an objective quality measurement of an HDR image.
Chih-Yang Lin +2 more
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Shape Recovery Using HDR Images
Computer Graphics, Imaging and Visualisation (CGIV 2007), 2007In this paper, an effective method for shape recovery using HDRI (high dynamic range images) is proposed. Firstly, an accurate reflectance map for a reference sphere relating its radiance values and corresponding normals is established, then the set of candidate normals of each target point comprising the same material are found by comparing its ...
Zuoyong Zheng, Lizhuang Ma, Zhou Zeng
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Evaluating deghosting algorithms for HDR images
2014 22nd Signal Processing and Communications Applications Conference (SIU), 2014The real world encompasses a high range of luminances. In order to capture and represent this range correctly, High Dynamic Range (HDR) imaging techniques are introduced. Some of these techniques are based on constructing an HDR image from several Low Dynamic Range (LDR) images with different exposures. In the capture and reconstruction phases, the HDR
Okan Tarhan Tursun +3 more
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Tuning Retinex for HDR Images Visualization
Conference on Colour in Graphics, Imaging, and Vision, 2004In some cases, consumer devices (monitors, printers, cameras, etc) do not allow us to capture or reproduce the full range of luminance information of a synthetic or real scene. Many techniques have been proposed in the last years, that address the tone mapping problem (i.e.
D. Gadia, D. Marini, A. Rizzi
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iCAM06, HDR, and Image Appearance
Color and Imaging Conference, 2007Jiangtao Kuang, Mark D. Fairchild
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Deep Learning for HDR Imaging: State-of-the-Art and Future Trends
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022Kuk-Jin Yoon, Lin Wang
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FlexHDR: Modeling Alignment and Exposure Uncertainties for Flexible HDR Imaging
IEEE Transactions on Image Processing, 2022Ales Leonardis +2 more
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Deep snapshot HDR imaging using multi-exposure color filter array
Visual Computer, 2023Masatoshi Okutomi +2 more
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Exposure-Aware Dynamic Weighted Learning for Single-Shot HDR Imaging
Lecture Notes in Computer Science, 2022Chul Lee, An Gia Vien
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