Results 1 to 10 of about 5,415 (222)
Deep HDR Hallucination for Inverse Tone Mapping [PDF]
Sensors, 2021 Inverse Tone Mapping (ITM) methods attempt to reconstruct High Dynamic Range (HDR) information from Low Dynamic Range (LDR) image content. The dynamic range of well-exposed areas must be expanded and any missing information due to over/under-exposure ...
Demetris Marnerides +2 more
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Inverse Tone Mapping Based upon Retina Response [PDF]
The Scientific World Journal, 2014 The development of high dynamic range (HDR) display arouses the research of inverse tone mapping methods, which expand dynamic range of the low dynamic range (LDR) image to match that of HDR monitor.
Yongqing Huo, Fan Yang, Vincent Brost
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iTM-Net: Deep Inverse Tone Mapping Using Novel Loss Function Considering Tone Mapping Operator
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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Fast and flexible stack‐based inverse tone mapping
CAAI Transactions on Intelligence Technology, 2023 Inverse tone mapping technique is widely used to restore the lost textures from a single low dynamic range image. Recently, many stack‐based deep inverse tone mapping networks have achieved impressive results by estimating a set of multi‐exposure images ...
Ning Zhang +4 more
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Family-Wide Dysregulation of Phosphodiesterases Alters cAMP/cGMP Microdomains in Thoracic Aortic Aneurysm [PDF]
Journal of Cardiovascular Development and DiseaseBackground: Thoracic aortic aneurysm (TAA) is driven by complex molecular mechanisms beyond size thresholds, yet the role of cyclic nucleotide metabolism remains unclear.
Dimitrios E. Magouliotis +7 more
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Enhancement and Noise Suppression of Single Low-Light Grayscale Images
Remote Sensing, 2022 Low-light images have low contrast and high noise, making them not easily readable. Most existing image-enhancement methods focus on color images. In the present study, an enhancement and denoising algorithm for single low-light grayscale images is ...
Ting Nie +7 more
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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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IEEE Access, 2022 Modern displays have the capability of rendering video contents encoded with high dynamic range (HDR) standards. HDR contents deliver more realistic visual experiences by wider color gamut and luminance compared to standard dynamic range (SDR) contents ...
Joon-Ki Bae, Subin Yang, Sung-Ho Bae
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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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