Blind Dehazed Image Quality Assessment: A Deep CNN-Based Approach
Author:
Affiliation:
1. College of Computer Science, Chongqing University, Chongqing, China
2. Department of Mathematics, Chinese University of Hong Kong, Hong Kong, China
3. School of Computer Science and Informatics, Cardiff University, Cardiff, U.K.
Funder
National Key R&D Program of China
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Science Applications,Media Technology,Signal Processing
Link
http://xplorestaging.ieee.org/ielx7/6046/10016790/10058506.pdf?arnumber=10058506
Reference70 articles.
1. Single image dehazing
2. Fast visibility restoration from a single color or gray level image
3. Single Image Haze Removal Using Dark Channel Prior
4. Fast image dehazing using guided joint bilateral filter
5. Efficient Image Dehazing with Boundary Constraint and Contextual Regularization
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