Open AccessTowards efficient blind quality evaluation of screen content images based on edge‐preserving filter
Author(s) -
Qian Jiansheng,
Tang Lijuan,
Jakhetiya Vinit,
Xia Zhifang,
Gu Ke,
Lu Hong
Publication year - 2017
Publication title -
electronics letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.375
H-Index - 146
eISSN - 1350-911X
pISSN - 0013-5194
DOI - 10.1049/el.2017.0325
Subject(s) - enhanced data rates for gsm evolution , computer vision , quality (philosophy) , content (measure theory) , artificial intelligence , computer science , filter (signal processing) , image quality , pattern recognition (psychology) , mathematics , image (mathematics) , physics , mathematical analysis , quantum mechanics
The problem of quality assessment of screen content images from two respects is addressed, the edge‐preserving filter based free energy and structural degradation model. For screen content images which always contain texts, edge information plays an important role in the process of evaluating the screen images quality. Inspired by this, the edge‐preserving filter based free energy entropy and structural degradation model were combined to extract the quality features and accordingly the statistical model of screen content images was established. Experimental results prove that the proposed method can produce highly consistent with human perception, particularly superior to state‐of‐the‐art full‐ and no‐reference quality metrics on the SIQAD database dedicated to the quality assessment of screen images.