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Conference Paper

Lossy Compression of High Dynamic Range Images and Video


Mantiuk,  Rafał
Max Planck Society;


Myszkowski,  Karol       
Computer Graphics, MPI for Informatics, Max Planck Society;


Seidel,  Hans-Peter       
Computer Graphics, MPI for Informatics, Max Planck Society;

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Mantiuk, R., Myszkowski, K., & Seidel, H.-P. (2006). Lossy Compression of High Dynamic Range Images and Video. In B. E. Rogowitz, T. N. Pappas, & S. J. Daly (Eds.), Human Vision and Electronic Imaging XI. Bellingham, USA: SPIE.

Cite as: https://hdl.handle.net/11858/00-001M-0000-000F-235C-8
Most common image and video formats have been designed to work with
existing output devices, like LCD or CRT monitors. As display
technology makes progress, these formats no longer represent the
data that new devices can display. Therefore a shift towards higher
precision image and video formats is imminent.

To overcome limitations of common image and video formats, such as
JPEG, PNG or MPEG, we propose a novel color space, which can
accommodate an extended dynamic range and guarantees the precision
that is below the visibility threshold. The proposed color space,
which is derived from contrast detection data, can represent the
full range of luminance values and the complete color gamut that is
visible to the human eye. We show that only minor changes are
required to the existing encoding algorithms to accommodate the new
color space and therefore greatly enhance information content of the
visual data. We demonstrate this with two compression algorithms for
High Dynamic Range (HDR) visual data: for static images and for
video. We argue that the proposed HDR representation is a simple and
universal way to encode visual data independent of the display or
capture technology.