Blind image quality assessment by relative gradient statistics and adaboosting neural network

作者：

Highlights：

• OG-IQA extracts a 6-dimensional relative gradient feature vector from the inputs.

• OG-IQA utilizes an AdaBoosting BP neural network to map the image features to image quality.

• OG-IQA delivers highly competitive image quality prediction performance and has a relatively low time complexity.

摘要

•OG-IQA extracts a 6-dimensional relative gradient feature vector from the inputs.•OG-IQA utilizes an AdaBoosting BP neural network to map the image features to image quality.•OG-IQA delivers highly competitive image quality prediction performance and has a relatively low time complexity.

论文关键词：No reference (NR),Image quality assessment (IQA),Spatial correlation,Oriented gradient correlation,AdaBoosting neural network

论文评审过程：Received 9 May 2015, Revised 24 October 2015, Accepted 24 October 2015, Available online 2 November 2015, Version of Record 12 November 2015.

论文官网地址：https://doi.org/10.1016/j.image.2015.10.005