Blindly Assess Image Quality in the Wild Guided by a Self-Adaptive Hyper Network

• Published in: Proceedings (IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Online) pp. 3664 - 3673
• Main Authors: Su, Shaolin, Yan, Qingsen, Zhu, Yu, Zhang, Cheng, Ge, Xin, Sun, Jinqiu, Zhang, Yanning
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.01.2020
• Subjects: Distortion; Feature extraction; Image quality; Predictive models; Semantics; Task analysis

Blind image quality assessment (BIQA) for authentically distorted images has always been a challenging problem, since images captured in the wild include varies contents and diverse types of distortions. The vast majority of prior BIQA methods focus on how to predict synthetic image quality, but fai...