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Testing HDR Image Rendering Algorithms
Color and Imaging Conference, 2004Eight high-dynamic-range image rendering algorithms were tested using ten high-dynamic-range pictorial images. A large-scale paired comparison psychophysical experiment was developed containing two sections, comparing the overall rendering performances and grayscale tone mapping performance respectively.
Kuang, Jiangtao +3 more
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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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HDR Imaging From Quantization Noise
2020 IEEE International Conference on Image Processing (ICIP), 2020Quantization is an integral part of image acquisition but also a major performance bottleneck due to the trade-off between dynamic range and resolution. As we discuss in this paper, in contrast, quantization noise can be acquired reliably even beyond the dynamic range by re-purposing recent hardware development.
Ayush Bhandari, Felix Krahmer
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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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Device displays have made progress the last decade, starting with ever increasing pixel densities, the focus has shifted to more colors (color spaces) and increased brightness. These developments allow the display of HDR content and browsers are also gradually supporting displaying it.
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HDR-TOF: HDR Time-of-Flight Imaging via Modulo Acquisition
2022 IEEE International Conference on Image Processing (ICIP), 2022Gal Shtendel, Ayush Bhandari
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HDR Image Construction from Trifocal Multiexposure Images
2021 IEEE 23rd International Workshop on Multimedia Signal Processing (MMSP), 2021Alper Koz +6 more
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Depth Estimation for HDR Images
2012In this chapter, depth estimation for stereo pair of High Dynamic Range (HDR) images is proposed. The proposed algorithm consists of two major techniques namely conversion of HDR images to Low Dynamic Range (LDR) images or Standard Dynamic Range (SDR) images and estimating the depth from the converted LDR / SDR stereo images.
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