Naturalization of Screen Content Images for Enhanced Quality Evaluation

Xingge GUO  Liping HUANG  Ke GU  Leida LI  Zhili ZHOU  Lu TANG  

IEICE TRANSACTIONS on Information and Systems   Vol.E100-D    No.3    pp.574-577
Publication Date: 2017/03/01
Publicized: 2016/11/24
Online ISSN: 1745-1361
DOI: 10.1587/transinf.2016EDL8178
Type of Manuscript: LETTER
Category: Information Network
image quality assessment,  screen content image,  naturalization,  bicubic interpolation,  

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The quality assessment of screen content images (SCIs) has been attractive recently. Different from natural images, SCI is usually a mixture of picture and text. Traditional quality metrics are mainly designed for natural images, which do not fit well into the SCIs. Motivated by this, this letter presents a simple and effective method to naturalize SCIs, so that the traditional quality models can be applied for SCI quality prediction. Specifically, bicubic interpolation-based up-sampling is proposed to achieve this goal. Extensive experiments and comparisons demonstrate the effectiveness of the proposed method.

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