Modeling Luminance Perception at Absolute Threshold

Kellnhofer, Petr; Ritschel, Tobias; Eisemann, Elmar; Seidel, Hans‐Peter

doi:10.1111/cgf.12687

Cited by 3 publications

(2 citation statements)

References 42 publications

(72 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the socalled scotopic situations, the light level is lower than the absolute threshold of cone photoreceptors and the human vision is only me-diated by rods. The photopic condition has been the main focus of most color research, and the mesopic and scotopic conditions have received much less attention [11,12,13].…”

Section: Introductionmentioning

confidence: 99%

A Retargeting Approach for Mesopic Vision: Simulation and Compensation

Rezagholizadeh¹,

Akhavan²,

Soudi³

et al. 2016

View full text Add to dashboard Cite

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 based on psychophysical experiments over color patches, and many have never been used for complex images due to their complexity. In this research, a color retargeting approach based on the mesopic model of Shin et al. [1] is developed to work with complex images. We propose an inverse model for complex images to compensate for color appearance changes on dimmed displays viewed in dark environment. Our experimental results using both quantitative and qualitative evaluations show a discriminative improvement in the perceived color quality for mesopic vision. The proposed method can be incorporated into image retargeting techniques and display rendering mechanisms.

show abstract

Section: Introductionmentioning

confidence: 99%

A Retargeting Approach for Mesopic Vision: Simulation and Compensation

Rezagholizadeh¹,

Akhavan²,

Soudi³

et al. 2016

View full text Add to dashboard Cite

show abstract

“…The photopic condition has been the main focus of most color research, and the mesopic and scotopic conditions have received much less attention. [11][12][13] Color appearance models (CAMs) aim at reproducing colors and color perceptual attributes of a simple stimulus as the human visual system perceives it. The output of an ideal CAM should match human color perception in all viewing conditions.…”

Section: Introductionmentioning

confidence: 99%

A Retargeting Approach for Mesopic Vision: Simulation and Compensation

Rezagholizadeh¹,

Akhavan²,

Soudi³

et al. 2016

jist

View full text Add to dashboard Cite

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 that meet these two conditions. Moreover, most of these models are developed based on psychophysical experiments over color patches, and many have never been used for complex images due to their complexity. In this article, a color retargeting approach based on the mesopic model of Shin et al. ["A color appearance model applicable in mesopic vision," Opt. Rev. 11, 272-278 (2004)] is developed to work with complex images. The authors propose an inverse model for complex images to compensate for color appearance changes on dimmed displays viewed in a dark environment. Their experimental results using both quantitative and qualitative evaluations show a discriminative improvement in the perceived color quality for mesopic vision. The proposed method can be incorporated into image retargeting techniques and display rendering mechanisms.

show abstract