Results 21 to 30 of about 32,819 (260)
Global Priors Guided Modulation Network for Joint Super-Resolution and Inverse Tone-Mapping [PDF]
arXiv.org, 2022 Joint super-resolution and inverse tone-mapping (SR-ITM) aims to enhance the visual quality of videos that have quality deficiencies in resolution and dynamic range. This problem arises when using 4K high dynamic range (HDR) TVs to watch a low-resolution
Gang He +7 more
semanticscholar +1 more source
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
doaj +1 more source
Lightness Modulated Deep Inverse Tone Mapping
CoRR, 2021 11 pages, 10 ...
Kanglin Liu +3 more
openaire +2 more sources
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
KPN-MFI: A Kernel Prediction Network with Multi-frame Interaction for Video Inverse Tone Mapping
International Joint Conference on Artificial Intelligence, 2022 Up to now, the image-based inverse tone mapping (iTM) models have been widely investigated, while there is little research on video-based iTM methods. It would be interesting to make use of these existing image-based models in the video iTM task. However,
Gaofeng Cao +4 more
semanticscholar +1 more source
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
doaj +1 more source
Inverse Tone Mapping Operator Using Sequential Deep Neural Networks Based on the Human Visual System
IEEE Access, 2018 Conventional digital displays show images with much less dynamic range than that of human visual perception. High-dynamic range (HDR) displays are being developed for viewing images with higher dynamic range than that of conventional low-dynamic range ...
Hanbyol Jang +3 more
doaj +1 more source