High-dynamic-range image recovery from flash and non-flash image pairs

Hristina Hristova 1 Olivier Le Meur 2 Rémi Cozot 1 Kadi Bouatouch 1
1 FRVSense - FRVSense
IRISA-D6 - MEDIA ET INTERACTIONS
2 Sirocco - Analysis representation, compression and communication of visual data
Inria Rennes – Bretagne Atlantique , IRISA_D5 - SIGNAUX ET IMAGES NUMÉRIQUES, ROBOTIQUE
Abstract : In this paper, we propose a novel method for creating HDR images from only two images—flash and non-flash images. Our method consists of two main steps, namely brightness gamma correction and bi-local chromatic adaptation transform (CAT). The brightness gamma correction performs series of increases and decreases of the non-flash brightness and yields multiple images with various exposure values. The bi-local CAT enhances the quality of each computed image by recovering missing details, using information from the flash image. The final multi-exposure images are then merged together to compute an HDR image. An evaluation shows that our HDR images, obtained by using only two LDR images, are close to HDR images, obtained by combining five manually taken multi-exposure images. Our method does not require the usage of a tripod and it is suitable for images of non-still objects, such as people, candle flames.
Type de document :
Article dans une revue
Visual Computer, Springer Verlag, 2017, 33 (6-8), pp.725 - 735. 〈10.1007/s00371-017-1399-0〉
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https://hal.inria.fr/hal-01650464
Contributeur : Olivier Le Meur <>
Soumis le : mardi 28 novembre 2017 - 13:47:30
Dernière modification le : mercredi 16 mai 2018 - 11:24:14

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Hristina Hristova, Olivier Le Meur, Rémi Cozot, Kadi Bouatouch. High-dynamic-range image recovery from flash and non-flash image pairs. Visual Computer, Springer Verlag, 2017, 33 (6-8), pp.725 - 735. 〈10.1007/s00371-017-1399-0〉. 〈hal-01650464〉

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