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Digital Image Quality Assessment Based on Standard Normal Deviation
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논문 기본 정보

Type
Academic journal
Author
Hyung-Ju Park (Chung-Ang University) Dong-Hwan Har (Chung-Ang University)
Journal
The Korea Contents Society International JOURNAL OF CONTENTS Vol.11 No.2 KCI Accredited Journals
Published
2015.6
Pages
20 - 30 (11page)

Usage

cover
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Topic
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Background
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Method
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Result
Digital Image Quality Assessment Based on Standard Normal Deviation
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Abstract· Keywords

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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.
#Image Quality #Preference #Objective #Subjective

Contents

ABSTRACT
1. INTRODUCTION
2. PROPOSED APPROACH
3. EXPERIMENTAL METHODOLOGY
4. MAIN TEST
5. CONCLUSION
6. DISCUSSION
REFERENCES

References (28)

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1. [학술대회논문] - R. Datta / 2006 / Studying aesthetics in photographic images using a computational approach / Proc. 9th European Conference on Computer Vision 3953 : 288 ~ 301 google schola 2. [학술대회논문] - R. Datta / 2007 / Learning the consensus on visual quality for next-generation image management / Proc. 15th International Conference on Multimedia : 533 ~ 536 google schola 3. [학술대회논문] - Y. Ke / 2006 / The design of high-level features for photo quality assessment / Proc. IEEE Computer Society Conference on Computer Vision and Pattern Recognition : 419 ~ 426 google schola 4. [학술지(정기간행물)] - C. Li / 2009 / Aesthetic visual quality assessment of paintings / IEEE Journal of Selected Topics in Signal Processing 3 (2) : 236 ~ 252 google schola 5. [학술대회논문] - Y. Luo / 2008 / Photo and video quality evaluation: Focusing on the subject / Proc. European Conference on Computer Vision 5304 : 386 ~ 399 google schola

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