Use color appearance model for video applications

Pyliavskyi, Volodymyr; Gofaizen, Oleg; Siden, Serhii; Vakarchuk, Anna

doi:10.1109/tcset.2018.8336419

Cited by 2 publications

(3 citation statements)

References 3 publications

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“…Some result of adapting is present in [9][10][11][12][13], but these do not use the color temperature line. The result is a black body line in a system of color coordinates of the model and the same values for different adaptation conditions.…”

Section: Discussionmentioning

confidence: 99%

Color temperature line: forward and inverse transformation

Qasim¹,

Pyliavskyi²

2020

Semicond. phys. quantum electron. and optoelectron.

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In the calculations, colorimetric calculations using different types of light sources used are the black body line and the family of isothermal lines but the coordinates of the light source are determined by a schedule or set of color coordinates. When using modern models of color type CAM02, CAM16 it is necessary to promptly receive the light source coordinate data knowing its color temperature. The paper proposes an analytical expression that binds the color temperature dependence and its location in the system Yxy. The presented results cover the Kelvin temperature range from 1080 up to 10,000 K. The algorithm has a certain conversion error, which is shown in the figures, but when evaluating its magnitude it was determined that these errors are beyond the threshold of human visibility. The paper presents results that can be used in the construction of modern adaptive to the source of illumination of photo and video transmission systems. The data describing the color body lines under different vision adaptation conditions are presented, which will allow considering these features in new systems, to make the perception of visual information maximum under different viewing conditions from ordinary to the extreme ones. The use of isothermal lines extends the functionality of the listed areas of application and simplifies working with them.

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Section: Discussionmentioning

confidence: 99%

Color temperature line: forward and inverse transformation

Qasim¹,

Pyliavskyi²

2020

Semicond. phys. quantum electron. and optoelectron.

View full text Add to dashboard Cite

show abstract

“…One of the possible solutions to these issues is to use a color perception model when improving existing and designing new video communication systems. Thus, an attempt to introduce a color perception prediction system was made in [9]. Along with that, the work should be supplemented by the use of an algorithm that reduces the illuminant effect on the color quality.…”

Section: Spectives -How Colors Change Under Different Illumination Anmentioning

confidence: 99%

“…The analysis [5][6][7][8][9][10][11][12][13][14] shows that although color perception models are developed not for video communication systems, the issue of the influence of spectral power distribution of illuminants on the color quality is not sufficiently investigated. This suggests the expediency of studies related to the introduction of an algorithm taking into account the properties of color perception of video information and spectral power distribution of the illuminant in video communication systems.…”

Section: Spectives -How Colors Change Under Different Illumination Anmentioning

confidence: 99%

Use color appearance model for video applications

Cited by 2 publications

References 3 publications

Color temperature line: forward and inverse transformation

Color temperature line: forward and inverse transformation

Development of the algorithm of video image adaptation to spectral power distribution of illuminants

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