Automatic saturation correction for dynamic range management algorithms
High dynamic range (HDR) images require tone reproduction to match the range of values to the capabilities of a display. For computational reasons and given the absence of fully calibrated imagery, rudimentary color reproduction is often added as a post-processing step rather than integrated into to...
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Veröffentlicht in: | Signal processing. Image communication 2018-04, Vol.63, p.100-112 |
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Sprache: | eng |
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Zusammenfassung: | High dynamic range (HDR) images require tone reproduction to match the range of values to the capabilities of a display. For computational reasons and given the absence of fully calibrated imagery, rudimentary color reproduction is often added as a post-processing step rather than integrated into tone reproduction algorithms. In the general case, this currently requires manual parameter tuning, and can be automated only for some global tone reproduction operators by inferring parameters from the tone curve. We present a novel and fully automatic saturation correction technique, suitable for any tone reproduction operator (including inverse tone reproduction), which exhibits fewer distortions in hue and luminance reproduction than the current state-of-the-art. We validated its comparative effectiveness through subjective experiments and objective metrics. Our experiments confirm that saturation correction significantly contributes toward the perceptually plausible color reproduction of tonemapped content and would, therefore, be useful in any color-critical application.
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•Fully automatic saturation correction suitable for any tone and inverse tonemapping operator.•It is exhibiting fewer distortions in hue and luminance than the current state-of-the-art.•It is based on recent advances in perceptually linear color-space and saturation computation.•It takes the gamut boundary of the output color space into consideration.•It is agnostic to the specific way the luminance is computed in the tonemapping operator. |
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ISSN: | 0923-5965 1879-2677 |
DOI: | 10.1016/j.image.2018.01.011 |