A no-reference image blur metric based on artificial neural network

作者：Ma Xiaoyu^*; Jiang Xiuhua

来源：PROCEEDINGS OF THE 2014 International Symposium on Information Technology (ISIT 2014), 2014-10-14 to 2014-10-16.

This paper presents an efficient no-reference blur metric for images based on an artificial neural network (ANN) implemented by the back-propagation (BP) algorithm, named as BP-ANN. Three image features are extracted from spatial domains as the input vectors of the BP-ANN. The three features are No-Reference Structural Sharpness (NRSS), edge width and neighborhood correlation respectively. Experiments using the LIVE blur database demonstrate that the proposed algorithm correlates well with subjective quality evaluations.

• 出版日期2015
• 单位中国传媒大学