Naturalization of Screen Content Images for Enhanced Quality Evaluation

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

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

Full Text: PDF(2MB)
>>Buy this Article


Summary: 
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.