In this story, Defocus Blur Detection by Fusing Multiscale Deep Features With Conv-LSTM, MsFEN+MsBEN, by Civil Aviation University of China, is reviewed. In this paper:
- Multiscale convolutional features from same image with different sizes are extracted.
- Conv-LSTMs are used to integrate the fused features gradually from top-to-bottom layers, and to generate multiscale blur estimations.
This is a paper in 2020 IEEE ACCESS where ACCESS is a open access journal with high impact factor of 3.745. (Sik-Ho Tsang @ Medium)