Journal
ACM TRANSACTIONS ON GRAPHICS
Volume 25, Issue 4, Pages 1380-1399Publisher
ASSOC COMPUTING MACHINERY
DOI: 10.1145/1183287.1183293
Keywords
algorithms; high dynamic range; HDR video; tone mapping; adaptation; video processing; visual perception; human cones
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A recently developed quantitative model describing the dynamical response characteristics of primate cones is used for rendering high dynamic range (HDR) video. The model provides range compression, as well as luminance-dependent noise suppression. The steady-state (static) version of the model provides a global tone mapping algorithm for rendering HDR images. Both the static and dynamic cone models can be inverted, enabling expansion of the HDR images and video that were compressed with the cone model.
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