Image quality assessment based on deep learning with FPGA implementation

作者：

Highlights：

• We proposed a simple but efficient non-reference IQA algorithm.

• We introduced a novel FPGA implementation for fast IQA.

摘要

•We proposed a simple but efficient non-reference IQA algorithm.•We introduced a novel FPGA implementation for fast IQA.

论文关键词：Image quality assessment,Deep learning,FPGA,CNN,Image feature learning

论文评审过程：Received 2 July 2019, Revised 25 December 2019, Accepted 1 January 2020, Available online 6 February 2020, Version of Record 15 February 2020.

论文官网地址：https://doi.org/10.1016/j.image.2020.115780