Consistent Multi- and Single-View HDR-Image Reconstruction from Single Exposures

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Date
2022
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
We propose a CNN-based approach for reconstructing HDR images from just a single exposure. It predicts the saturated areas of LDR images and then blends the linearized input with the predicted outputs. Two loss functions are used: the Mean Absolute Error and the Multi-Scale Structural Similarity Index. The choice of these loss functions allows us to outperform previous algorithms in the reconstructed dynamic range. Once the network trained, we input multi-view images to it to output multi-view coherent images.
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@inproceedings{
10.2312:egp.20221004
, booktitle = {
Eurographics 2022 - Posters
}, editor = {
Sauvage, Basile
and
Hasic-Telalovic, Jasminka
}, title = {{
Consistent Multi- and Single-View HDR-Image Reconstruction from Single Exposures
}}, author = {
Mohan, Aditya
and
Zhang, Jing
and
Cozot, Rémi
and
Loscos, Celine
}, year = {
2022
}, publisher = {
The Eurographics Association
}, ISSN = {
1017-4656
}, ISBN = {
978-3-03868-171-7
}, DOI = {
10.2312/egp.20221004
} }
Citation