2016
DOI: 10.2352/issn.2470-1173.2016.20.color-323
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A Retargeting Approach for Mesopic Vision: Simulation and Compensation

Abstract: Retargeting approaches aim at providing a unified framework for image rendering in which both the intended scene luminance and the actual luminance of the display are taken into account. At the core of any color retargeting method, a color vision model and its inverse are employed. Such a color appearance model should be invertible and cover the entire luminance range of the human visual system. There are not many available models which meet these two conditions. Moreover, most of these models are developed ba… Show more

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Cited by 4 publications
(5 citation statements)
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“…Assessments of perceptual methods are typically done by running subjective evaluations 5,13 . At IRYStec, we have performed extensive subjective evaluations on our PDP components using approximately 20 subjects.…”
Section: Evaluating the Resultsmentioning
confidence: 99%
See 2 more Smart Citations
“…Assessments of perceptual methods are typically done by running subjective evaluations 5,13 . At IRYStec, we have performed extensive subjective evaluations on our PDP components using approximately 20 subjects.…”
Section: Evaluating the Resultsmentioning
confidence: 99%
“…At IRYStec, we have performed extensive subjective evaluations on our PDP components using approximately 20 subjects. These subjective evaluations have been published separately 4,13,19,20 . Here, we introduce an objective measure to evaluate perceptual methods using available image processing quality metrics.…”
Section: Evaluating the Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…The model also takes only achromatic contrast mechanisms into account. Ensuing work by Rezagholizadeh et al [20] uses Shin's [27] mesopic vision model to retarget images between different luminance levels and their framework applies to all colour channels. However, their methodology assumes no spatial dependence and only considers colour values in isolation.…”
Section: Related Workmentioning
confidence: 99%
“…A comprehensive dataset for contrast matching across luminance would be very useful for various image processing applications. One of the direct applications of this work would be in image retargeting for different luminance levels [19,20]. Ultimately, the aim would be to develop a cross-luminance retargeting algorithm for complex images.…”
Section: Introductionmentioning
confidence: 99%