Title:	Compressed Exposure Sequences for HDR Imaging
Authors:	Sekmen, Selin Akyüz, Ahmet Oguz
Citation:	WSCG 2019: full papers proceedings: 27. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, p. 143-151.
Issue Date:	2019
Publisher:	Václav Skala - UNION Agency
Document type:	konferenční příspěvek conferenceObject
URI:	http://hdl.handle.net/11025/35619
ISBN:	978-80-86943-37-4 (CD/-ROM)
ISSN:	2464–4617 (print) 2464-4625 (CD/DVD)
Keywords:	zobrazení s vysokým dynamickým rozsahem;vícenásobná expozice;JPEG;metadata obrázku
Keywords in different language:	high dynamic range imaging;multiple exposures;JPEG;image metadata
Abstract in different language:	High dynamic range (HDR) imaging techniques allow photographers to capture the luminance distribution in the real-world as it is, freeing them from the limitations of capture and display devices. One common approach for creating HDR images is the multiple exposures technique (MET). This technique is preferred by many photographers as multiple exposures can be captured with off-the-shelf digital cameras and later combined into an HDR image. In this study, we propose a storage scheme in order to simplify the maintenance and usability of such sequences. In our scheme, multiple exposures are stored inside a single JPEG file with the main image representing a user-selected reference exposure. Other exposures are not directly stored, but rather their differences with each other and the reference is stored in a compressed manner in the metadata section of the same file. This allows a significant reduction in file size without impacting quality. If necessary the original exposures can be reconstructed from this single JPEG file, which in turn can be used in a standard HDR workflow.
Rights:	© Václav Skala - UNION Agency
Appears in Collections:	WSCG 2019: Full Papers Proceedings

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