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Evaluating video quality with temporal noise [PDF]
Human can only perceive video distortions beyond certain intensity. Temporal variations of suprathreshold noise in a video induce annoying temporal noise (e.g., flickering artifacts). Prior studies on full-reference video quality assessment (VQA) focused mainly on spatial quality of impaired videos, and ignored or underestimated the impact of temporal ...
Lu Yu, Zhao Yin
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Noise level detection in general video [PDF]
Noise level is a major factor when assessing the video quality. Although digital technologies have advanced, imaging is an analogue technology based on the photo-electric conversion imaging characteristics. Recently the sensitivity of imaging devices improved dramatically.
Seiichi Gohshi, Kazuhiro Miyamae
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Noise measurement in video images
2000 Digest of Technical Papers. International Conference on Consumer Electronics. Nineteenth in the Series (Cat. No.00CH37102), 2002Many image enhancement algorithms easily fail in the presence of noise. Noise adaptive algorithms are much more robust, and a good and accurate enough algorithm for noise measurement is a key component. The proposed algorithms combine good performance with low complexity.
Christian Hentschel, Haiyan He
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Modeling of Surveillance Video Noise
Signal Processing, Pattern Recognition, and Applications / 722: Computer Graphics and Imaging, 2011This paper aims at breaking new ground in modeling and estimation of recording noise of surveillance video for further development of new techniques to restore video images. In order to tackle the video denoising problem with non-stationary image contents and various noise sources, a critical task is estimation of varieties of noise in video signals ...
Xinghuo Yu +3 more
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FreeInit: Bridging Initialization Gap in Video Diffusion Models
European Conference on Computer Vision, 2023Though diffusion-based video generation has witnessed rapid progress, the inference results of existing models still exhibit unsatisfactory temporal consistency and unnatural dynamics.
Tianxing Wu +4 more
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Adaptive surveillance video noise suppression
2011 24th Canadian Conference on Electrical and Computer Engineering(CCECE), 2011We propose an adaptive surveillance video noise filter (ASVNF) using models for marginal distributions of wavelet coefficients. In order to suppress mixture Poisson-Gaussian noise for surveillance video, the wavelet domain based denoising function in the ASVNF adapts its output to the local spatial video structure and the property of the video noise ...
Zhihong Man +3 more
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Analysis and suppression of noise in astronomical video
Proceedings of 21st International Conference Radioelektronika 2011, 2011This paper is devoted to noise suppression in systems for double station observation of meteors, nowadays known as MAIA (Meteor Automatic Imager and Analyzer). The noise analysis based on acquisition of testing video sequences at different lighting conditions and their statistical evaluation were described in our previous paper.
Eva Jerhotová +5 more
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Noise-canceling microphone for video cameras
IEEE Transactions on Consumer Electronics, 1990A novel noise-canceling microphone was developed for compact video cameras. Simple in structure, this microphone system enables elimination of acoustic noise generated by a noise source just behind the system, as well as vibration noise. It is confirmed that it is possible to achieve high-quality recorded sound with the system, and that it can be ...
H. Naono, K. Ono, M. Matsumoto
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MEVG: Multi-event Video Generation with Text-to-Video Models
European Conference on Computer Vision, 2023We introduce a novel diffusion-based video generation method, generating a video showing multiple events given multiple individual sentences from the user.
Gyeongrok Oh +6 more
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Video Noise Reduction In Telecine Systems
SPIE Proceedings, 1989A telecine is a motion picture scanner used to generate high quality video recordings of motion pictures. The noise characteristics of a telecine system were analyzed to determine a suitable scheme for reducing video noise across non-moving portions of a temporal sequence of images. It was found that while in principle median filtering is better than a
Glenn Kennel, Mysore R. Raghuveer
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