High Dynamic Range Imaging and Low Dynamic Range Expansion for Generating HDR Content [PDF]
Computer Graphics Forum, 2009 Abstract In the last few years, researchers in the field of High Dynamic Range (HDR) Imaging have focused on providing tools for expanding Low Dynamic Range (LDR) content for the generation of HDR images due to the growing popularity of HDR in applications, such as photography and rendering via Image‐Based Lighting, and the imminent arrival of HDR ...
Alessandro Artusi +2 more
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HDR-VQM: An objective quality measure for high dynamic range video [PDF]
Signal Processing: Image Communication, 2015 High Dynamic Range (HDR) signals fundamentally differ from the traditional low dynamic range (LDR) ones in that pixels are related (proportional) to the physical luminance in the scene (i.e. scene-referred). For that reason, the existing LDR video quality measurement methods may not be directly used for assessing quality in HDR videos. To address that,
Manish Narwaria, Patrick Le Callet
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HDR-Plenoxels: Self-Calibrating High Dynamic Range Radiance Fields
Lecture Notes in Computer Science, 2022 Accepted at ECCV 2022.
Tae-Hyun Oh +2 more
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HDR-ChipQA: No-reference quality assessment on High Dynamic Range videos
Signal Processing: Image CommunicationWe present a no-reference video quality model and algorithm that delivers standout performance for High Dynamic Range (HDR) videos, which we call HDR-ChipQA. HDR videos represent wider ranges of luminances, details, and colors than Standard Dynamic Range (SDR) videos.
Alan Bovik +2 more
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Enhanced Steganography for High Dynamic Range Images with Improved Security and Capacity
Applied Sciences, 2023 High-dynamic-range (HDR) images are widely regarded as the ideal format for digital images due to their ability to accurately render a wider range of luminance values.
Tzung-Her Chen, Jing-Ya Yan
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HDR Image Reconstruction Using Segmented Image Learning
IEEE Access, 2021 Converting a low dynamic range (LDR) image into a high dynamic range (HDR) image produces an image that closely depicts the real world without requiring expensive devices.
Byeong Dae Lee, Myung Hoon Sunwoo
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HDR-NeRF: High Dynamic Range Neural Radiance Fields
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022 Accepted to CVPR 2022. Project page: https://xhuangcv.github.io/hdr-nerf/
Xin Huang 0021 +5 more
openaire +2 more sources
Human Visual System Model-Based Optimized Tone Mapping of High Dynamic Range Images
IEEE Access, 2021 High dynamic range (HDR) image and video technology can provide significant picture quality improvement over the standard dynamic range (SDR). However, when HDR content is represented on an SDR display, dynamic range compression may result in image ...
Nam Hoang Nguyen, Tu Van Vo, Chul Lee
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Extending and Matching a High Dynamic Range Image from a Single Image
Sensors, 2020 Extending the dynamic range can present much richer contrasts and physical information from the traditional low dynamic range (LDR) images. To tackle this, we propose a method to generate a high dynamic range image from a single LDR image. In addition, a
Van Luan Tran, Huei-Yung Lin
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High Dynamic Range Video Synthesis Using Superpixel-Based Illuminance-Invariant Motion Estimation
IEEE Access, 2020 We propose a robust high dynamic range (HDR) video synthesis algorithm using the superpixel-based illuminance-invariant motion estimation technique.
Tu Van Vo, Chul Lee
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