No-reference screen content image quality assessment with unsupervised domain adaptation

B Chen, H Li, H Fan, S Wang - IEEE Transactions on Image …, 2021 - ieeexplore.ieee.org
… In the literature, developing a unified IQA model that is applicable across different content
types … across content types by integrating a content-adaptive multiscale weighting strategy. In …

Screen content quality assessment: Overview, benchmark, and beyond

X Min, K Gu, G Zhai, X Yang, W Zhang… - ACM Computing …, 2021 - dl.acm.org
image and its translated versions in [183], and the weighted … Very limited works have been
done for unified quality assessment … Then a unified content-type adaptive (UCA) blind quality

Screen content image quality assessment based on convolutional neural networks

X Jiang, L Shen, Q Ding, L Zheng, P An - … Visual Communication and Image …, 2020 - Elsevier
… effect of the different image patch content, an adaptive weighting method based on … unified
CNN-based NR IQA model adapting to different image content types including natural images

Subjective and objective quality assessment of compressed screen content videos

T Li, X Min, H Zhao, G Zhai, Y Xu… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
… simple idea by deploying adaptive window sizes of local filters … unified quality measures
which are effective for both naturalcontent weighting for perceptual image quality assessment,” …

Dual-channel multi-task CNN for no-reference screen content image quality assessment

C Zhang, Z Huang, S Liu, J Xiao - IEEE transactions on circuits …, 2022 - ieeexplore.ieee.org
… an effective adaptive weighting strategy for quality score … assists the SCI quality prediction
task through the histogram of … mapping between the input patch and its quality score. The …

No-reference screen content image quality assessment based on multi-region features

X Jiang, L Shen, L Yu, M Jiang, G Feng - Neurocomputing, 2020 - Elsevier
… The architecture of sharing weights to extract multi-region features … assess the quality of
both natural images and SCIs, we plan to design a unified CNN-based NR IQA model adapting

Full-reference screen content image quality assessment by fusing multilevel structure similarity

C Chen, H Zhao, H Yang, T Yu, C Peng… - ACM Transactions on …, 2021 - dl.acm.org
… [50] propose to incorporate both visual field adaptation and information content weighting
into structural similarity-… Unified blind quality assessment of compressed natural, graphic and …

Screen content video quality assessment: Subjective and objective study

S Cheng, H Zeng, J Chen, J Hou… - … Transactions on Image …, 2020 - ieeexplore.ieee.org
natural, graphic, and screen content images. Min et al. [28] proposed a unified content-type
adaptive (… in viewing different content types through a multi-scale weighting framework. Min et …

No-reference screen content video quality assessment

T Li, X Min, W Zhu, Y Xu, W Zhang - Displays, 2021 - Elsevier
… visual field adaptation and information content weighting to … between the quality assessment
of videos and of images. In … a blind video quality assessment model for screen content, …

Deep neural network for blind visual quality assessment of 4K content

W Lu, W Sun, X Min, W Zhu, Q Zhou… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
… Existing blind image quality assessment (BIQA) methods are … Hence, we adopt the task
uncertainty weighting principle in [… Lin, “Unified blind quality assessment of compressed natural, …