An end-to-end blind image quality assessment method using a recurrent network and self-attention
M Zhou, X Lan, X Wei, X Liao, Q Mao… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
In this paper, we propose a blind image quality assessment (BIQA) method using self-
attention and a recurrent neural network (RNN); this approach can effectively capture both …
attention and a recurrent neural network (RNN); this approach can effectively capture both …
Lightweight transformer and multi-head prediction network for no-reference image quality assessment
No-reference (NR) image quality assessment (IQA) is an important task of computer vision.
Most NR-IQA methods via deep neural networks do not reach desirable IQA performance …
Most NR-IQA methods via deep neural networks do not reach desirable IQA performance …
No reference image quality assessment via quality difference learning
J Xie, Y Luo, J Ling, G Yue - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
For human beings, there is a natural preference for judging the relative quality rather than
directly predicting the quality score of an image. Based on this view, we propose an image …
directly predicting the quality score of an image. Based on this view, we propose an image …
Multi-Scale Dense Description for Blind Image Quality Assessment
Y Wei, B Liu, P Luan, Y Ma - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
Blind image quality assessment (BIQA) aims to predict perceptual quality without access to
reference images. However, discerning both image content and complex distortions within a …
reference images. However, discerning both image content and complex distortions within a …