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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Fully-automatic inverse tone mapping algorithm based on dynamic mid-level tone mapping [PDF]
APSIPA Transactions on Signal and Information Processing, 2020 High Dynamic Range (HDR) displays can show images with higher color contrast levels and peak luminosities than the common Low Dynamic Range (LDR) displays. However, most existing video content is recorded and/or graded in LDR format.
Aelterman, Jan +5 more
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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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Multi-Frame Content-Aware Mapping Network for Standard-Dynamic-Range to High-Dynamic-Range Television Artifact Removal [PDF]
SensorsRecently, advancements in image sensor technology have paved the way for the proliferation of high-dynamic-range television (HDRTV). Consequently, there has been a surge in demand for the conversion of standard-dynamic-range television (SDRTV) to HDRTV ...
Zheng Wang, Gang He
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A novel deep unsupervised approach for super-resolution of remote sensing hyperspectral image using gompertz-function convergence war accelerometric-optimization generative adversarial network (GF-CWAO-GAN) [PDF]
Scientific ReportsHyperspectral remote sensing images obtained from cameras are characterized by high-dimensions and low quality, which makes them unfavorable for various analytics purposes. This is due to the presence of visible and invisible frequencies of the reflected
K. Deepthi, Aditya K. Shastry, E. Naresh
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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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