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dcSR: practical video quality enhancement using data-centric super resolution
Conference on Emerging Network Experiment and Technology, 2021With the next generation immersive video applications, network capacity is becoming a growing bottleneck to deliver a high quality video to end-users. Recent advances to tackle this challenge introduced super-resolution (SR) for video quality enhancement
Duin Baek +3 more
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A Robust Quality Enhancement Method Based on Joint Spatial-Temporal Priors for Video Coding
IEEE transactions on circuits and systems for video technology (Print), 2021Quality enhancement of HEVC compressed videos has attracted a lot of attentions in recent years. In this article, we propose a robust multi-frame guided attention network (MGANet) to reconstruct high-quality frames based on HEVC compressed videos. In our
Xiandong Meng +4 more
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Community College Review, 1983
Among the most critical issues facing community colleges in the 1980s is quality: its assessment, its enhancement, its relationship to resource allocation. Whatever the long-term consequences of the spirited public and private dialogue about quality, there seems little doubt that we are entering a period of introspection concerning com munity colleges'
Clifton F. Conrad, Martine F. Hammond
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Among the most critical issues facing community colleges in the 1980s is quality: its assessment, its enhancement, its relationship to resource allocation. Whatever the long-term consequences of the spirited public and private dialogue about quality, there seems little doubt that we are entering a period of introspection concerning com munity colleges'
Clifton F. Conrad, Martine F. Hammond
openaire +1 more source
2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
This paper presents a comprehensive review of the 1st Challenge on Video Quality Enhancement for Video Conferencing held at the NTIRE workshop at CVPR 2025, and highlights the problem statement, datasets, proposed solutions, and results.
Varun Jain +22 more
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This paper presents a comprehensive review of the 1st Challenge on Video Quality Enhancement for Video Conferencing held at the NTIRE workshop at CVPR 2025, and highlights the problem statement, datasets, proposed solutions, and results.
Varun Jain +22 more
semanticscholar +1 more source
Prior Guided Fundus Image Quality Enhancement Via Contrastive Learning
IEEE International Symposium on Biomedical Imaging, 2021Fundus images of poor quality may seriously influence clinic judgments. Existing fundus image quality enhancement (FIQE) approaches mainly make use of general image features but no prior domain knowledge.
Pujin Cheng +4 more
semanticscholar +1 more source
HealthcarePapers, 2006
The healthcare systems of most developed nations face a common challenge: a substantial gap exists between the best possible care and the care routinely delivered. Numerous studies in the literature and reports from authoritative bodies, such as the Institute of Medicine (IOM) in the United States, have provided compelling and persuasive evidence that ...
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The healthcare systems of most developed nations face a common challenge: a substantial gap exists between the best possible care and the care routinely delivered. Numerous studies in the literature and reports from authoritative bodies, such as the Institute of Medicine (IOM) in the United States, have provided compelling and persuasive evidence that ...
openaire +2 more sources
MDEformer: Mixed Difference Equation Inspired Transformer for Compressed Video Quality Enhancement
IEEE Transactions on Neural Networks and Learning SystemsDeep learning methods have achieved impressive performance in compressed video quality enhancement tasks. However, these methods rely excessively on practical experience by manually designing the network structure and do not fully exploit the potential ...
Mingjin Zhang +5 more
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Temporal Wavelet Transform-Based Low-Complexity Perceptual Quality Enhancement of Compressed Video
IEEE transactions on circuits and systems for video technology (Print)The past few years have witnessed a great success in applying deep learning to enhance the perceptual quality of compressed video. These methods usually perform frame-by-frame quality enhancement, incurring high computational complexity.
Cunhui Dong +4 more
semanticscholar +1 more source
Blind Quality Enhancement for Compressed Video
IEEE transactions on multimediaDeep convolutional neural networks (CNNs) have achieved impressive success in enhancing the quality of compressed images/videos. These approaches mostly obtain the noise level in advance and train multiple architecture-identical models for enhancement on
Qing Ding +4 more
semanticscholar +1 more source
When fatigue quality enhancers do not enhance fatigue quality
International Journal of Fatigue, 2003The role of fatigue quality enhancers is to delay or if possible eliminate crack nucleation. The most well known fatigue quality enhancers are cold working, shot peening and controlled interference fit fastening. This paper discusses the theory behind these common fatigue quality enhancers. But more importantly, this paper points count conditions where
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