Results 1 to 10 of about 1,086 (97)
SASA: Saliency-Aware Self-Adaptive Snapshot Compressive Imaging
The ability of snapshot compressive imaging (SCI) systems to efficiently capture high-dimensional (HD) data depends on the advent of novel optical designs to sample the HD data as two-dimensional (2D) compressed measurements. Nonetheless, the traditional
Lam, Edmund Y., Zhao, Yaping
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Today, visual data is often analyzed by a neural network without any human being involved, which demands for specialized codecs. For standard-compliant codec adaptations towards certain information sinks, HEVC or VVC provide the possibility of frequency ...
Brand, Fabian +3 more
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Improving Video Colorization by Test-Time Tuning
With the advancements in deep learning, video colorization by propagating color information from a colorized reference frame to a monochrome video sequence has been well explored.
Lam, Edmund Y. +3 more
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A Diffusion Model Based Quality Enhancement Method for HEVC Compressed Video
Video post-processing methods can improve the quality of compressed videos at the decoder side. Most of the existing methods need to train corresponding models for compressed videos with different quantization parameters to improve the quality of ...
Liu, Zheng, Qi, Honggang
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Joint Deep Image Restoration and Unsupervised Quality Assessment
Deep learning techniques have revolutionized the fields of image restoration and image quality assessment in recent years. While image restoration methods typically utilize synthetically distorted training data for training, deep quality assessment ...
Bovik, Alan C. +2 more
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High-Dynamic-Range Visual-Difference-Predictor version 3, or HDR-VDP-3, is a visual metric that can fulfill several tasks, such as full-reference image/video quality assessment, prediction of visual differences between a pair of images, or prediction of ...
Hammou, Dounia +2 more
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Quality Modeling Under A Relaxed Natural Scene Statistics Model
Information-theoretic image quality assessment (IQA) models such as Visual Information Fidelity (VIF) and Spatio-temporal Reduced Reference Entropic Differences (ST-RRED) have enjoyed great success by seamlessly integrating natural scene statistics (NSS)
Bovik, Alan C. +1 more
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LCCM-VC: Learned Conditional Coding Modes for Video Compression
End-to-end learning-based video compression has made steady progress over the last several years. However, unlike learning-based image coding, which has already surpassed its handcrafted counterparts, learning-based video coding still has some ways to go.
Bajić, Ivan V., Hadizadeh, Hadi
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Temporal error concealment for fisheye video sequences based on equisolid re-projection
Wide-angle video sequences obtained by fisheye cameras exhibit characteristics that may not very well comply with standard image and video processing techniques such as error concealment.
Bätz, Michel +3 more
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GAMIVAL: Video Quality Prediction on Mobile Cloud Gaming Content
The mobile cloud gaming industry has been rapidly growing over the last decade. When streaming gaming videos are transmitted to customers' client devices from cloud servers, algorithms that can monitor distorted video quality without having any reference
Bovik, Alan C. +7 more
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