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Image Quality Evaluation in Professional HDR/WCG Production Questions the Need for HDR Metrics [PDF]

open access: yesIEEE Transactions on Image Processing, 2022
In the quality evaluation of high dynamic range and wide color gamut (HDR/WCG) images, a number of works have concluded that native HDR metrics, such as HDR visual difference predictor (HDR-VDP), HDR video quality metric (HDR-VQM), or convolutional ...
Marcelo Bertalmío, Yasuko Sugito
exaly   +2 more sources

The HDR-video pipeline [PDF]

open access: yes, 2016
High dynamic range (HDR) video technology has gone through remarkable developments over the last few years; HDR-video cameras are being commercialized, new algorithms for color grading and tone mapping specifically designed for HDR-video have recently been proposed, and the first open source compression algorithms for HDR-video are becoming available ...
Unger J   +3 more
core   +5 more sources

Toward High-Quality HDR Deghosting With Conditional Diffusion Models

IEEE transactions on circuits and systems for video technology (Print), 2023
High Dynamic Range (HDR) images can be recovered from several Low Dynamic Range (LDR) images by existing Deep Neural Networks (DNNs) techniques. Despite the remarkable progress, DNN-based methods still generate ghosting artifacts when LDR images have ...
Qing-Sen Yan   +7 more
semanticscholar   +1 more source

Joint HDR Denoising and Fusion: A Real-World Mobile HDR Image Dataset

Computer Vision and Pattern Recognition, 2023
Mobile phones have become a ubiquitous and indispensable photographing device in our daily life, while the small aperture and sensor size make mobile phones more susceptible to noise and over-saturation, resulting in low dynamic range (LDR) and low image
Shuai Liu   +5 more
semanticscholar   +1 more source

A Study of Subjective and Objective Quality Assessment of HDR Videos

IEEE Transactions on Image Processing, 2023
As compared to standard dynamic range (SDR) videos, high dynamic range (HDR) content is able to represent and display much wider and more accurate ranges of brightness and color, leading to more engaging and enjoyable visual experiences. HDR also implies
Zai-Xi Shang   +6 more
semanticscholar   +1 more source

HDR Imaging with Spatially Varying Signal-to-Noise Ratios

Computer Vision and Pattern Recognition, 2023
While today's high dynamic range (HDR) image fusion algorithms are capable of blending multiple exposures, the acquisition is often controlled so that the dynamic range within one exposure is narrow.
Yi-Heng Chi   +2 more
semanticscholar   +1 more source

Deep HDR Imaging via A Non-Local Network

IEEE Transactions on Image Processing, 2020
One of the most challenging problems in reconstructing a high dynamic range (HDR) image from multiple low dynamic range (LDR) inputs is the ghosting artifacts caused by the object motion across different inputs.
Qing-Sen Yan   +6 more
semanticscholar   +1 more source

From Dynamic to Static: Stepwisely Generate HDR Image for Ghost Removal

IEEE transactions on circuits and systems for video technology (Print)
Generating high-quality high dynamic range (HDR) images in dynamic scenes is particularly challenging due to the influence of large motion. Despite the effectiveness of existing deep learning methods, they still suffer from ghosting artifacts when ...
Qing-Sen Yan   +7 more
semanticscholar   +1 more source

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