Disparity-based HDR imaging
| Autor: | Jennifer Bonnard, Gilles Valette, Celine Loscos |
|---|---|
| Přispěvatelé: | Centre de Recherche en Sciences et Technologies de l'Information et de la Communication - EA 3804 (CRESTIC), Université de Reims Champagne-Ardenne (URCA), ANR-17-CE23-0020,ReVeRY,Vidéo riche pour une meilleure créativité(2017) |
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
FOS: Computer and information sciences
Multiscopic images high-dynamic range images image registration Computer Vision and Pattern Recognition (cs.CV) Image and Video Processing (eess.IV) FOS: Electrical engineering electronic engineering information engineering Computer Science - Computer Vision and Pattern Recognition ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV] Electrical Engineering and Systems Science - Image and Video Processing |
| Zdroj: | Digital Image & Signal Processing (DISP) Digital Image & Signal Processing (DISP), 2019, Oxford, United Kingdom HAL |
| Popis: | High-dynamic range imaging permits to extend the dynamic range of intensity values to get close to what the human eye is able to perceive. Although there has been a huge progress in the digital camera sensor range capacity, the need of capturing several exposures in order to reconstruct high-dynamic range values persist. In this paper, we present a study on how to acquire high-dynamic range values for multi-stereo images. In many papers, disparity has been used to register pixels of different images and guide the reconstruction. In this paper, we show the limitations of such approaches and propose heuristics as solutions to identified problematic cases. Digital Image & Signal Processing, Apr 2019, St Hugh's College, Oxford University, United Kingdom, United Kingdom |
| Databáze: | OpenAIRE |
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