@inproceedings{9c85f31726904c85a05b17540370b4d9,
title = "Blind image quality assessment based on mutual information",
abstract = "Mutual information can indicate the degradation severity of natural images by capturing images{\textquoteright} local structural properties. In this paper, we analyze the dependence between neighboring pixels and propose a no reference image quality assessment method based on mutual information in wavelet domain. The proposed image quality assessment (IQA) method, named MIQA-II, computes mutual information between neighboring pixels in the same subband, across different orientations and scales as features. A quadratic function is used to fit the mutual information values along a distance and the features are then transformed to a final predicted quality score through a two-step framework. MIQA-II is tested on the LIVE IQA database. The experimental results show that MIQA-II has a competitive subjective relevance performance and acceptable time consumption. In addition, MIQA-II still achieves good performance with a small training set.",
keywords = "Image quality assessment, Mutual information, Wavelet",
author = "Bao Liu and Liu, {Li Xiong} and Dong, {Hong Ping} and Lin, {Yong Gang}",
note = "Publisher Copyright: {\textcopyright} Springer Science+Business Media Singapore 2016.; 5th International Conference on Electronics, Communications and Networks, CECNet 2015 ; Conference date: 12-12-2015 Through 15-12-2015",
year = "2016",
doi = "10.1007/978-981-10-0740-8_15",
language = "English",
isbn = "9789811007385",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Verlag",
pages = "127--136",
editor = "Amir Hussain",
booktitle = "Electronics, Communications and Networks - Proceedings of the 5th International Conference on Electronics, Communications and Networks, CECNet 2015",
address = "Germany",
}