Issue |
ITM Web Conf.
Volume 12, 2017
The 4th Annual International Conference on Information Technology and Applications (ITA 2017)
|
|
---|---|---|
Article Number | 01009 | |
Number of page(s) | 6 | |
Section | Session 1: Robotics | |
DOI | https://doi.org/10.1051/itmconf/20171201009 | |
Published online | 05 September 2017 |
Image Quality Assessment Based on Contourlet and ESD Method
1 School of Mathematical Science, Peking University, Beijing P.R. China
2 Army Aviation Institute, Beijing P.R. China
* liangshuang12@pku.edu.cn
** gxwang@math.pku.edu.cn
*** waterprison@163.com
In recent years, the development of the digital image processing promotes the research of the image quality assessment (IQA). A novel metric for full-reference image quality assessment is presented. The metric combined the contourlet transform with the energy of structural distortion (ESD), namely the CT-ESD. The calculation of the ESD is carried out in each subband of the contourlet transform. Then the comparisons between the reference and the distorted images on each subband are integrated by weighting sum. The superiority of the contourlet transform integrates well into new IQA metric. Experiments performed on the database TID2013 demonstrate that the CT-ESD can achieve high consistency with the subjective evaluation.
© The Authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.