Title :
Image quality assessment with visual sensitivity
Author :
Tien-Ying Kuo;Cheng-Mou Tsai;Cheng-Pin Chuang;Shao-Jung Chuang
Author_Institution :
Dept of Electrical Engineering, National Taipei University of Technology, Taiwan, R.O.C
fDate :
6/1/2015 12:00:00 AM
Abstract :
Image quality assessment is to measure the difference between two images. In this paper, we propose an image quality assessment method by improving and extending visual information fidelity (VIF) to consider visual sensitivity instead of pure pixel difference between pixels. Experiment results prove that our proposed method performs well.
Keywords :
"Indexes","Phase distortion","Accuracy"
Conference_Titel :
Informatics, Electronics & Vision (ICIEV), 2015 International Conference on
DOI :
10.1109/ICIEV.2015.7334032
