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http://dx.doi.org/10.5392/IJoC.2015.11.2.020

Digital Image Quality Assessment Based on Standard Normal Deviation  

Park, Hyung-Ju (Culture Technology Research Institute Chung-Ang University)
Har, Dong-Hwan (School of Integrative Engineering Chung-Ang University)
Publication Information
International Journal of Contents / v.11, no.2, 2015 , pp. 20-30 More about this Journal
Abstract
We propose a new method that specifies objective image quality factors by evaluating an image quality measurement model using random images. In other words, No-Reference variables are used to evaluate the quality of an original image without using any reference for comparison. 1000 portrait images were collected from a web gallery with votes constituting over 30 recommendation values. The bottom-up data collecting process was used to calculate the following image quality factors: total range, average, standard deviation, normalized distribution, z-score, preference percentage. A final grade is awarded out of 100 points, and this method ranks and grades the final estimated image quality preference in terms of total image quality factors. The results of the proposed image quality evaluation model consist of the specific dynamic range, skin tone R, G, B, L, A, B, and RSC contrast. We can present the total for the expected preference points as the average of the objective image qualities. Our proposed image quality evaluation model can measure the preferences for an actual image using a statistical analysis. The results indicate that this is a practical image quality measurement model that can extract a subject's preferred image quality.
Keywords
Image Quality; Preference; Objective; Subjective;
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Times Cited By KSCI : 1  (Citation Analysis)
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