title: Image quality of a mobile display under different illuminations.
abstract: 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.
authors: Department of Industrial Engineering and Management Information, Huafan University, No. 1, Huafan Rd., Shihding District, New Taipei City, 22301, Taiwan. frank.phlin@gmail.com
authors: Po-Hung
authors: PH
authors: Lin
authors: Wen-Hung
authors: WH
authors: Kuo
mesh_terms: D000328:Adult; D040421:Cell Phone; D003118:Color Perception; D003258:Consumer Behavior; D015350:Contrast Sensitivity; D004867:Equipment Design; D005260:Female; D006801:Humans; D008029:Lighting; D008297:Male; D010364:Pattern Recognition, Visual; D014584:User-Computer Interface; D055815:Young Adult