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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 ...
Zhengya Xu +3 more
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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.
C. Hentschel, null 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 ...
Zhengya Xu +3 more
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Noise Estimation in Video Surveillance Systems
2009 WRI World Congress on Computer Science and Information Engineering, 2009Noise estimation plays an important role in the evaluation of video quality. In video surveillance systems, noise is mainly introduced by the camera and the quantization process. This paper proposes a method to estimate the noise in video communication systems.
Li Jin-chao, Tang Hui-ming, Lu Chao
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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 Raghuveer
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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 ...
K. Ono, M. Matsumoto, H. Naono
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Noise reduction in SEM video signals
International Journal of Electronics, 1976Linear filtering methods of noise reduction in SEM video signals are discussed. It is shown that time-averaging filters distort and corrupt the signal to obtain optimum signal to noise ratio. Ensemble averaging filters are demonstrated as the better, since no signal distortion occurs.
P. A. TAYLOR, D. EVERETT, A. GOPINATH
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Evaluating video quality with temporal noise
2010 IEEE International Conference on Multimedia and Expo, 2010Human 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 ...
Yin Zhao, Lu Yu
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Video background modeling under impulse noise
2014 IEEE International Conference on Image Processing (ICIP), 2014Video background modeling is an important task in many video processing applications. Most existing algorithms assume a Gaussian noise model, but digital videos are, in practice, prone to be degraded by impulse noise, due to transmission errors in wireless or high data-rate wired channels.
Paul Rodriguez, Brendt Wohlberg
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Noise level detection in general video
2018 International Workshop on Advanced Image Technology (IWAIT), 2018Noise 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.
Kazuhiro Miyamae, Seiichi Gohshi
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