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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
Publication Date: 2017/03/01
Online ISSN: 1745-1361
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.