Standardizing visual display quality

Besuijen, Ko; Spenkelink, G.P.J.

doi:10.1016/s0141-9382(98)00039-0

Cited by 19 publications

(9 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…(Wikipedia, 2011). It is known that the evaluation of image quality from a user's viewpoint is essential, and image quality assessment from subjective human perception is a critical issue (Bech, Hamberg, Nijenhuis, Teunissen, Jong, Houben, et al, 1996;Besuijen & Spenkelink, 1998). Several physical characteristics, such as luminance, contrast, correlated color temperature (CCT), color gamut, and resolution, are used as indices for users to evaluate image quality on different electronic devices.…”

mentioning

confidence: 99%

Image Quality of a Mobile Display under Different Illuminations

Lin

Kuo

2011

Percept Mot Skills

View full text Add to dashboard Cite

This study constructed the image quality models for a small mobile display under different ambient illumination levels using Group Method and Data Handling (GMDH) and described the relationship between perceived image quality and physical measurements. 33 college students took part in this experiment and were asked to evaluate the image quality under 1500 lux (typical indoor office illumination) and 7000 lux (simulated outdoor environment) in Stage One and Stage Two, respectively. In each stage, the participants had to evaluate 21 images. 17 sets of the data as a training set were used to build the model and four sets of the data as a testing set were used to verify the model. The results indicated that the effects of luminance, contrast, correlated color temperature (CCT), and resolution were significant on perceived image quality under 1500 lux. However, color temperature was not a significant physical characteristic, and an interaction between luminance and contrast was found below 7000 lux. From the results of the experiment, it is considered that the outdoor environment (7000 lux) is not suitable for using mobile displays. Finally, once a valid image quality model is built, the subjective image quality can be established when the measurements of significant physical characteristics are provided. The results of subjective ratings can also be provided for mobile display manufacturers to improve the product quality so that their products can meet customers' requirements.

show abstract

mentioning

confidence: 99%

Image Quality of a Mobile Display under Different Illuminations

Lin

Kuo

2011

Percept Mot Skills

View full text Add to dashboard Cite

show abstract

“…The quality of visual display units pertains to the efficiency with which information is transferred from the display to the visual system of the user (Besuijen & Spenkelink, 1998) so the quality is primarily defined by the degree to which images are personalized to the capacities of the user's visual information processing system. This is why visual display quality criteria should be user centered.…”

Section: Motivation For Researchmentioning

confidence: 99%

“…According to Besuijen and Spenkelink (1998), while a subjective approach is based on a panel of humans in a particular display usage situation, an objective approach is based on knowledge obtained subjectively on vision in general and on vision on displays in particular. Determination of objective methods involves interpreting the results obtained by subjective methods, and therefore constructing vision models.…”

Section: Motivation For Researchmentioning

confidence: 99%

Technical note: Usability evaluation of the modified CIE1976 Uniform‐Chromaticity scale for assessing image quality of visual display monitors

Lee

Kim²,

Lee

et al. 2003

Hum Ftrs & Erg Mfg Svc

View full text Add to dashboard Cite

White uniformity indicates the degree of uniform distribution of white color across the display screen and is one of the important inspection factors determining the image quality of a visual display unit (VDU). Experiments in which participants were confronted with 6 evaluation points embedded in 3 measurement groups on a VDU screen were conducted to gather the psychophysical data that include the levels of white uniformity obtained from participants and a colorimetric system (CA-100). In an accuracy test, 37.12% of the participants showed the same conclusion led by the original CIE1976 criteria, and 62.88% of the participants showed the same conclusion led by the modified equation. In magnitude estimation evaluating the display's white uniformity, the magnitude score of the modified equation (0.36) was significantly larger than that of the original equation (0.32). It was concluded that the modified equation is more sensitive to the change of white uniformity.

show abstract

“…For objective measurement, the change of CFF is a practical index and the decrease in CFF represented a decline in the activity of the retina [23]. On the other hand, though providing extra information, subjective ratings are easy to use and more sensitive than objective measurements [24,25]. In the present study, legibility was assessed by search time and accuracy, and visual fatigue was assessed by the change of CFF and subjective rating.…”

Section: Introductionmentioning

confidence: 96%