For Full-Text PDF, please login, if you are a member of IEICE,|
or go to Pay Per View on menu list, if you are a nonmember of IEICE.
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,
Full Text: PDF(2MB)>>
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.