Results 11 to 20 of about 57,669 (242)
Deep Inverse Tone Mapping for Compressed Images [PDF]
IEEE Access, 2019 Converting a single low dynamic range (LDR) image into a high dynamic range (HDR) image, which is the so-called inverse tone mapping (ITM), is a challenging ill-posed problem since a lot of information is lost during compression and storage.
Chao Wang, Yang Zhao, Ronggang Wang
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iTM-Net: Deep Inverse Tone Mapping Using Novel Loss Function Considering Tone Mapping Operator [PDF]
IEEE Access, 2019 In this paper, we propose a novel inverse tone mapping network, called “iTM-Net.” For training iTM-Net, we also propose a novel loss function that considers the non-linear relation between low dynamic range (LDR) and high dynamic range (HDR)
Yuma Kinoshita, Hitoshi Kiya
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The introduction of High Dynamic Range Imaging in computer graphics has produced a novelty in Imaging that can be compared to the introduction of colour photography or even more.
Banterle, Francesco
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IEEE Access, 2021 We propose a novel and efficient algorithm for detection of specular reflections and light sources (highlights) in cinematic content. The detection of highlights is important for reconstructing them properly in the conversion of the low dynamic range ...
Ana Stojkovic +4 more
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SR-ITM-GAN: Learning 4K UHD HDR With a Generative Adversarial Network
IEEE Access, 2020 Currently, high dynamic range (HDR) videos with high resolution (HR) have become popular due to the display and the rendered technological advancements. However, making ultra-high definition (UHD) with HDR videos is expensive.
Huimin Zeng +3 more
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Multi-Exposure Fusion With Guidance Information: Night Color Image Enhancement for Roadside Units
IEEE Access, 2023 The computer vision-based roadside occupation surveillance system is a key infrastructure component of Cooperative Intelligent Transport Systems. However, traffic images captured under low-light conditions suffer from low visibility and unexpected noise.
Chen Yaqing, Wang Huaming
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Lightness Modulated Deep Inverse Tone Mapping
, 2021 11 pages, 10 ...
Liu, Kanglin +3 more
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Derivatives and inverse of cascaded linear+nonlinear neural models. [PDF]
PLoS ONE, 2018 In vision science, cascades of Linear+Nonlinear transforms are very successful in modeling a number of perceptual experiences. However, the conventional literature is usually too focused on only describing the forward input-output transform.
M Martinez-Garcia +4 more
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Dynamic Range Expansion Using Cumulative Histogram Learning for High Dynamic Range Image Generation
IEEE Access, 2020 In modern digital photographs, most images have low dynamic range (LDR) formats, which means that the range of light intensities from the darkest to the brightest is much lower than the range that can be perceived by the human eye.
Hanbyol Jang +3 more
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HDR-LFNet: Inverse tone mapping using fusion network
Computers & Graphics, 2023 To capture the real-world luminance values, High Dynamic Range (HDR) image processing has been developed. HDR images have a richer content than the widely-used Standard Dynamic Range (SDR) images, and are used in a number of situations, e.g. in film industry.
Chambe, Mathieu +5 more
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