Results 211 to 220 of about 102,473 (261)
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Channel noise and correlation noise of video sequences in distributed video coding
2011 21st International Conference on Noise and Fluctuations, 2011Distributed video coding (DVC) is defined such as a correlated video sequence is transmitted via the distributed independent encoders, and it can be decoded conditionally at the decoder. In the DVC coding, if an encoder encodes the video frame X and the side information Y is at the decoder, where the side information is computed using the adjacent ...
K. Thambu, X. N. Fernando, L. Guan
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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 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.
Jin-chao Li, Huiming Tang, Chao Lu
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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 0003
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Noise residual learning for noise modeling in distributed video coding
2012 Picture Coding Symposium, 2012Distributed video coding (DVC) is a coding paradigm which exploits the source statistics at the decoder side to reduce the complexity at the encoder. The noise model is one of the inherently difficult challenges in DVC. This paper considers Transform Domain Wyner-Ziv (TDWZ) coding and proposes noise residual learning techniques that take residues from ...
Huynh Van Luong, Søren Forchhammer
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Noise Power Estimation for Effective De-Noising in a Video Encoder
Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005., 2006This paper presents a noise estimation algorithm using multiresolution motion estimation in a video encoder. Firstly, the motion estimator finds minimum block-matching errors at the finest resolution and the middle resolution for each macroblock. Secondly, if the minimum block-matching error at the finest resolution of a certain macroblock is less than
Byung Cheol Song, Kang Wook Chun
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Compression noise based video forgery detection
2014 IEEE International Conference on Image Processing (ICIP), 2014Intelligent video editing techniques can be used to tamper videos such as surveillance camera videos, defeating their potential to be used as evidence in a court of law. In this paper, we propose a technique to detect forgery in MPEG videos by analyzing the frame's compression noise characteristics.
Hareesh Ravi +3 more
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Comfort noise for compressed video
2005 Digest of Technical Papers. International Conference on Consumer Electronics, 2005. ICCE., 2005Similar to adding a dither signal to still images to hide contouring, a dither signal may be added to decompressed video prior to display to hide video compression artifacts such as blockiness. We propose that the added "comfort noise" be temporally correlated to reduce the perceived noisiness.
J.M. Boyce, A.M. Tourapis
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Differential Video Noise Estimation
2006 International Conference on Communication Technology, 2006In this paper, we propose a fast and reliable white- noise variance estimation. The method subtracts two sequential frames of video first and then finds intensity-homogeneous blocks in both original image and differential image, and at last estimates the noise variance in these blocks by a Gaussian weighted averaging process.
Zhu Lei, Xu Peixia
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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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