Deep learning for hdr imaging: State-of-the-art and future trends

L Wang, KJ Yoon - IEEE transactions on pattern analysis and …, 2021 - ieeexplore.ieee.org
High dynamic range (HDR) imaging is a technique that allows an extensive dynamic range
of exposures, which is important in image processing, computer graphics, and computer …

Image similarity/distance measures: what is really behind MSE and SSIM?

G Palubinskas - International Journal of Image and Data Fusion, 2017 - Taylor & Francis
Similarity/distance measures play an important role in various signal/image processing
applications such as classification, clustering, change detection and matching. In most …

A novel data hiding algorithm for high dynamic range images

YT Lin, CM Wang, WS Chen, FP Lin… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
In this paper, we propose a novel data hiding algorithm for high dynamic range (HDR)
images encoded by the OpenEXR file format. The proposed algorithm exploits each of three …

Large-scale crowdsourced study for tone-mapped HDR pictures

D Kundu, D Ghadiyaram, AC Bovik… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Measuring digital picture quality, as perceived by human observers, is increasingly
important in many applications in which humans are the ultimate consumers of visual …

Quality evaluation of holographic images coded with standard codecs

H Amirpour, AMG Pinheiro, E Fonseca… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Recently, a larger interest in the different plenoptic formats, including digital holograms, has
emerged. Aside from other challenges that several steps of the holographic pipeline, from …

[HTML][HTML] An extensive performance evaluation of full-reference HDR image quality metrics

E Zerman, G Valenzise, F Dufaux - Quality and User Experience, 2017 - Springer
High dynamic range (HDR) image and video technology has recently attracted a great deal
of attention in the multimedia community, as a mean to produce truly realistic video and …

Quality evaluation of machine learning-based point cloud coding solutions

J Prazeres, R Rodrigues, M Pereira… - Proceedings of the 1st …, 2022 - dl.acm.org
In this paper, a quality evaluation of three point cloud coding solutions based on machine
learning technology is presented, notably, ADLPCC, PCC_GEO_CNN, and PCGC, as well …

Performance evaluation of objective image quality metrics on conventional and learning-based compression artifacts

M Testolina, E Upenik, J Ascenso… - … on Quality of …, 2021 - ieeexplore.ieee.org
Lossy image compression is a popular, simple and effective solution to reduce the amount of
data representing digital pictures. In most lossy compression methods, the reduced volume …

ITM-Net: Deep inverse tone mapping using novel loss function considering tone mapping operator

Y Kinoshita, H Kiya - IEEE Access, 2019 - ieeexplore.ieee.org
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 …

Modeling perceived quality on 8k vvc video under various screen sizes and viewing distances

Y Sugito, Y Kondo, D Arai, Y Kusakabe - IEEE Access, 2022 - ieeexplore.ieee.org
Perceptual video quality considerably affects the quality of experience (QoE) of watching
television (TV) broadcasts. Viewing conditions, such as the screen size and viewing …