Measurement and Modeling of Vividness Perception and Observer Preference for Color Laser Printer Quality

Kim, Y. J.; Bang, Yousun; Choh, Heui-Keun

doi:10.2352/j.imagingsci.technol.2010.54.1.010501

Cited by 2 publications

(3 citation statements)

References 22 publications

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“…Kim et al developed a vividness model using categorical judgment method for applications of colour laser printed images, as defined below:

ψ= \frac{normal1}{normal2} true(ω_{c} \sum_{i}^{n} C_{normala {normalb}_{i}}^{*} + ω_{L} \sum_{i}^{n} L_{i}^{*} true)

where n is the number of primary colours being used in the testing, eg, n = 6 for CMYRGB; ω C and ω L are weighting factors for

C_{ab}^{*}

and L * , respectively, which were optimized as having values 0.91 and 0.09, respectively.…”

Section: Existing Modelsmentioning

confidence: 99%

New colour appearance scales for describing saturation, vividness, blackness, and whiteness

Cho

Cui

et al. 2017

Color Research & Application

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This article describes the development of new models for predicting four colour appearance attributes: saturation, vividness, blackness, and whiteness. The new models were developed on the basis of experimental data accumulated in the authors' previous study, in which the four colour appearance attributes were scaled by 64 Korean and 68 British observers using the categorical judgment method. Two types of models were developed: the ellipsoid‐based and the hue‐based. For the former, the perceived saturation, vividness, blackness, and whiteness were modeled in the form of colour‐difference formulae between the test colour and a reference colour. For the latter, blackness, whiteness, and chromaticness scales were modeled by estimating hue‐dependent lightness and chroma values for the “full colour” in the framework of Adams' equation. The new models were tested using NCS data and were found to outperform some of the existing colour appearance models.

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“…Kim et al developed a vividness model using categorical judgment method for applications of colour laser printed images, as defined below:

ψ= \frac{normal1}{normal2} true(ω_{c} \sum_{i}^{n} C_{normala {normalb}_{i}}^{*} + ω_{L} \sum_{i}^{n} L_{i}^{*} true)

where n is the number of primary colours being used in the testing, eg, n = 6 for CMYRGB; ω C and ω L are weighting factors for

C_{ab}^{*}

and L * , respectively, which were optimized as having values 0.91 and 0.09, respectively.…”

Section: Existing Modelsmentioning

confidence: 99%

New colour appearance scales for describing saturation, vividness, blackness, and whiteness

Cho

Cui

et al. 2017

Color Research & Application

View full text Add to dashboard Cite

show abstract

“…The results obtained are summarized in Table 2. Basically, all of the observations can be accepted by the ITU-R BT 500-10 method and CV values ranged from 19 to 25 in Experiment 1 which can be within the acceptable level for observer accuracy [39,46,[56][57]. Even lower CV values were measured in Experiment 2 (13 ~ 18) because of the simplicity of the magnitude estimation technique.…”

Section: Observer Variationmentioning

confidence: 99%

“…Second, CV [46] is often used as a measure of the 'observer accuracy' which represents the mean discrepancy of a set of psychophysical data obtained from a panel of observers from their mean value. This term has been widely used in color appearance and difference studies [46,58] and usage of it was also verified in image quality studies [39,[56][57]. The original CV is a normalized measure of dispersion for a repeated measurement but was applied to measure the degree to which a set of data points varied in this study.…”

Section: Statistical Analysis For Observer Variationmentioning

confidence: 99%

Spatial Luminance Contrast Sensitivity: Effects of Surround

Kim¹,

Kim²

2010

Journal of the Optical Society of Korea

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This study examined the effects of surround luminance on the shape of the spatial luminance contrast sensitivity function (CSF). The reduction in brightness of uniform neutral patches shown on a computer controlled display screen is also assessed to explain the change of CSF shape. Consequently, a large amount of reduction in contrast sensitivity at middle spatial frequencies can be observed; however, the reduction is relatively small for low spatial frequencies. In general, the effect of surround luminance on the CSF appears similar to that of mean luminance. Reduced CSF responses result in less power of the filtered image; therefore, the stimulus should appear dimmer with a higher surround luminance.

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Measurement and Modeling of Vividness Perception and Observer Preference for Color Laser Printer Quality

Cited by 2 publications

References 22 publications

New colour appearance scales for describing saturation, vividness, blackness, and whiteness

New colour appearance scales for describing saturation, vividness, blackness, and whiteness

Spatial Luminance Contrast Sensitivity: Effects of Surround

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