Blind Quality Assessment for Image Superresolution Using Deep Two-Stream Convolutional Networks

Jiang Qiuping
Jiang Qiuping
Wang Yuwang
Wang Yuwang
Li Weiping
Li Weiping

Information Sciences, pp. 205-218, 2020.

Cited by: 0|Bibtex|Views10|DOI:https://doi.org/10.1016/j.ins.2020.04.030
EI
Other Links: arxiv.org|dblp.uni-trier.de|academic.microsoft.com|www.sciencedirect.com

Abstract:

Numerous image superresolution (SR) algorithms have been proposed for reconstructing high-resolution (HR) images from input images with lower spatial resolutions. However, effectively evaluating the perceptual quality of SR images remains a challenging research problem. In this paper, we propose a no-reference/blind deep neural network-ba...More

Code:

Data:

Full Text
Your rating :
0

 

Tags
Comments