PREDICTION OF SMARTPHONES’ PERCEIVED IMAGE QUALITY USING SOFTWARE EVALUATION TOOL VIQET

Pinchas ZOREA

Abstract


A great deal of resources and efforts have been made in recent years to assess how the smartphones users perceived the image quality. Unfortunately, only limited success has been achieved and the image quality assessment still based on many physical human visual test. The paper describes the new model proposed for perceived quality based on human visual tests compared with image analysis by the software application tool. The values of parameters of perceived image quality (brightness, contrast, color saturation and sharpness) were calibrated based on results from human visual experiments.

PREDICŢIA CALITĂŢII PERCEPUTE A IMAGINILOR AFIȘATE DE SMARTPHONE-URI UTILIZÂND APLICAŢIA DE EVALUARE VIQET

În ultimii ani au fost depuse eforturi semnificative pentru a evalua modul în care utilizatorii de smartphone  percep calitatea imaginilor. Din păcate, a fost atins doar un progres limitat, evaluarea calităţii imaginiilor bazându-se încă pe multiple teste vizuale umane. În lucrare este descris un nou model al calităţii percepute pe baza testelor vizuale umane, comparate cu analiza imaginii efectuate cu o aplicaţie software. Valorile parametrilor calităţii  percepute a imaginii (lu­minozitate, contrast, saturaţia culorilor şi claritatea) au fost calibrate pe baza rezultatelor experimentelor vizuale umane.


Keywords


Perceived image quality, human visual test (HVT), objective image quality assessment, image quality attributes (IQAs), Video Quality Experts Group (VQEG), VQEG Image Quality Evaluation Tool (VIQET).

Full Text:

PDF

References


ENGELDRUM, P.G. Image quality modeling: Where are we? In: Image Processing, Image Quality, Image Capture: Systems Conference, 1999, IS&T, p.251-255.

YANG, F., WAN, S. Bitstream-based quality assessment for networked video: a review. In: IEEE Communications Magazine, vol.50, 2012, no11, p.203-209.

ITU-T Recommendation P.913. Methods for the subjective assessment of video quality, audio quality and audiovisual quality of Internet video and distribution quality television in any environment (2014).

Kolmogorov-Smirnov Test [Accessed: 27.10.2016] Available: http://www.physics.csbsju. edu/stats/KS-test.html

PESSEMIER, T. et al. Exploring the acceptability of the audiovisual quality for a mobile video session based on objectively measured parameters. In: Proceedings of the 3rd International Workshop on Quality of Multimedia Experience (QoMEX ’11). Mechelen, Belgium, September 2011, p.125-130.

KALLIO, T., KAIKKONEN, A. Usability testing of mobile applications: a comparison between laboratory and field testing. In: Journal of Usability Studies, vol.1, 2005, p.4-16.

ITU-R Recommendation BT 500-13. Methodology for the subjective assessment of the quality of television pictures (2012).

ITU-T Recommendation P.913. Methods for the subjective assessment of video quality, audio quality and audiovisual quality of Internet video and distribution quality television in any environment (2014).

PEDERSEN, M. at al. Attributes of image quality for color prints. In: Journal of Electronic Imaging, Jan-Mar 2010, vol.19(1).


Refbacks

  • There are currently no refbacks.