A model of visual adaptation for realistic image synthesis
SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
Recovering high dynamic range radiance maps from photographs
Proceedings of the 24th annual conference on Computer graphics and interactive techniques
A multiscale model of adaptation and spatial vision for realistic image display
Proceedings of the 25th annual conference on Computer graphics and interactive techniques
Fast bilateral filtering for the display of high-dynamic-range images
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
Photographic tone reproduction for digital images
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
Tone-mapping high dynamic range images by novel histogram adjustment
Pattern Recognition
Reference-guided exposure fusion in dynamic scenes
Journal of Visual Communication and Image Representation
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Nine algorithms were implemented to overcome the problem associated with rendering high-dynamic-range scientific imagery to low-dynamic-range display devices. The algorithms were evaluated using two paired-comparison psychophysical experiments judging preference and "scientific usefulness". The results showed that, on average, the Zone System algorithm performed best and the Local Color Correction method performed the worst. However, the performance of the algorithms depended on the type of data being visualized. The low correlation between the preference and scientific usefulness judgments (R2=0.31) indicated that observers used different criteria when judging the image preference versus scientific usefulness. The experiment was repeated using expert observers (radiologists) for an MR scan (Medical image). The results showed that the radiologists used similar criteria as the non-expert observers when judging the usefulness of the rendered images. A target detection experiment was conducted to measure the detectability of an embedded target in the Medical image. The result of the target detection experiment illustrated that the detectability of targets in the image is greatly influenced by the rendering algorithms due to the inherent difference in tone mapping among the algorithms.