A versatile HDR video production system

• Published in: ACM transactions on graphics Vol. 30; no. 4; pp. 1 - 10
• Main Authors: Tocci, Michael D., Kiser, Chris, Tocci, Nora, Sen, Pradeep
• Format: Journal Article
• Language: English
• Published: New York, NY, USA ACM 01.07.2011
• Subjects: Computing methodologies; Computing methodologies / Artificial intelligence; Computing methodologies / Artificial intelligence / Computer vision; Computing methodologies / Artificial intelligence / Computer vision / Computer vision tasks; Computing methodologies / Artificial intelligence / Computer vision / Image and video acquisition; Computing methodologies / Artificial intelligence / Computer vision / Image and video acquisition / Camera calibration; Computing methodologies / Artificial intelligence / Computer vision / Image and video acquisition / Epipolar geometry; Computing methodologies / Computer graphics; Computing methodologies / Computer graphics / Image manipulation; Computing methodologies / Computer graphics / Image manipulation / Image processing; HDR video; merging HDR images
• ISSN: 0730-0301; 1557-7368
• DOI: 10.1145/2010324.1964936

Although High Dynamic Range (HDR) imaging has been the subject of significant research over the past fifteen years, the goal of acquiring cinema-quality HDR images of fast-moving scenes using available components has not yet been achieved. In this work, we present an optical architecture for HDR imaging that allows simultaneous capture of high, medium, and low-exposure images on three sensors at high fidelity with efficient use of the available light. We also present an HDR merging algorithm to complement this architecture, which avoids undesired artifacts when there is a large exposure difference between the images. We implemented a prototype high-definition HDR-video system and we present still frames from the acquired HDR video, tonemapped with various techniques.