Results 231 to 240 of about 450,369 (287)

2-D Motion Estimation of Video Sequences with Influnce of Zero-Mean Gaussian Noise

, 1999
S. Usama, Boris Šimák, Miloš Klíma
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Channel noise and correlation noise of video sequences in distributed video coding

2011 21st International Conference on Noise and Fluctuations, 2011
Distributed 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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Comfort noise for compressed video

2005 Digest of Technical Papers. International Conference on Consumer Electronics, 2005. ICCE., 2005
Similar 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, 2006
In 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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Green noise video halftoning

2014 19th International Conference on Digital Signal Processing, 2014
Video halftoning is a technology used to render a video onto a display device that can only display limited number of levels. Conventional video halftoning algorithms produce blue noise video halftones which are prone to flickering. Dedicated deflickering processes are hence required to reduce flickering.
Yik-Hing Fung, Yuk-Hee Chan
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Modeling of Surveillance Video Noise

Signal Processing, Pattern Recognition, and Applications / 722: Computer Graphics and Imaging, 2011
This 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, Hong Ren Wu, Xinghuo Yu, Zhihong Man   +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), 2002
Many 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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Compression noise based video forgery detection

2014 IEEE International Conference on Image Processing (ICIP), 2014
Intelligent 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, A V Subramanyam, Gaurav Gupta, B Avinash Kumar   +3 more
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Noise residual learning for noise modeling in distributed video coding

2012 Picture Coding Symposium, 2012
Distributed 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, Soren 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., 2006
This 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
null Byung Cheol Song, null Kang Wook Chun   +1 more
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