2011
DOI: 10.1002/col.20739
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Correcting veiling glare of refined CIECAM02 for mobile display

Abstract: Small displays are widely used; they are small enough to be carried around and are often viewed under extreme surround conditions. Under bright illumination, mobile display users experience ''veiling glare'' caused by bright ambient lighting. A refined version of CIE-CAM02 called ''Refined CIECAM02 and original CIE-CAM02'' were tested to predict visual results in terms of lightness (J), colourfulness (M), and brightness (Q) on a 2-inch sized display (2 00 ) mobile phone under four surround conditions; dark (0 … Show more

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Cited by 4 publications
(2 citation statements)
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“…This approach was indeed used in a number of previous studies on mobile displays . ‐ However, the CIECAM02 has been shown to be less useful for predicting the performance of mobile displays subjected to a wide variety of illumination conditions . Also, even after refining the CIECAM02 model specifically for mobile displays the resulting color accuracy was shown to leave much room for improvement …”
Section: The Mdcim Modelmentioning
confidence: 99%
“…This approach was indeed used in a number of previous studies on mobile displays . ‐ However, the CIECAM02 has been shown to be less useful for predicting the performance of mobile displays subjected to a wide variety of illumination conditions . Also, even after refining the CIECAM02 model specifically for mobile displays the resulting color accuracy was shown to leave much room for improvement …”
Section: The Mdcim Modelmentioning
confidence: 99%
“…CIECAM 97s [3] and CIECAM02 [4] color appearance models, developed by the Commission Internationale de L'Eclairage (CIE), determined the surround compensation ratios for average, dim, and dark levels. Various algorithms, such as illuminant adaptive color reproduction [1,5] and veiling glare correction [6] for mobile displays, have been proposed to solve this image quality degradation problem. Display adaptive tone mapping operators can also be used to minimize visible contrast distortions for mobile displays [7].…”
Section: Introductionmentioning
confidence: 99%