Rv-tmo: Large-scale dataset for subjective quality assessment of tone mapped images
Tone mapping operators (TMO) are functions that map high dynamic range (HDR) images to
a standard dynamic range (SDR), while aiming to preserve the perceptual cues of a scene …
a standard dynamic range (SDR), while aiming to preserve the perceptual cues of a scene …
[HTML][HTML] XtoE: A novel constructive and camouflaged adaptive data hiding and image encryption scheme for high dynamic range images
CF Lan, CM Wang, W Lin - Applied Sciences, 2022 - mdpi.com
High dynamic range (HDR) image data hiding and encryption has attracted much interest in
recent years due the benefits of providing high quality realistic images and versatile …
recent years due the benefits of providing high quality realistic images and versatile …
Method for developing and using high quality reference images to evaluate tone mapping operators
With the advancement of imaging technology, high dynamic range (HDR) images can now
be captured and displayed to produce realistic effects. Tone mapping operators (TMOs) are …
be captured and displayed to produce realistic effects. Tone mapping operators (TMOs) are …
A Fast HDR Image TMO based on a Simplified Eye Sensitivity Model
Tone mapping is essential for displaying High Dynamic Range (HDR) images on Low
Dynamic Range (LDR) screens. The quality performance of these algorithms has improved …
Dynamic Range (LDR) screens. The quality performance of these algorithms has improved …
Improving the perceived high dynamic range uniformity across viewing environments
S Ploumis - 2022 - open.library.ubc.ca
Abstract The High Dynamic Range (HDR) technology drastically improves the visual quality
of image and video content. However, with increased promises come higher expectations as …
of image and video content. However, with increased promises come higher expectations as …
Hdr Tone Mapping Using a Generative Adversarial Network
S Ploumis, P Nasiopoulos - Available at SSRN 4080604 - papers.ssrn.com
Abstract Conventional Tone Mapping Operators (TMOs) usually fail to retain the same
performance across different scenes, while Deep Learning (DL) TMOs are typically …
performance across different scenes, while Deep Learning (DL) TMOs are typically …