Modeling the Correlation Noise in Spatial Domain Distributed Video Coding

2009 ◽  
Author(s):  
Nikos Deligiannis ◽  
Adrian Munteanu ◽  
Tom Clerckx ◽  
Peter Schelkens ◽  
Jan Cornelis
Keyword(s):  
Video Coding ◽  
Distributed Video Coding ◽  
Spatial Domain ◽  
Correlation Noise

Accounting for quantization noise in online correlation noise estimation for Distributed Video Coding

2009 ◽  
Author(s):  
Jurgen Slowack ◽  
Stefaan Mys ◽  
Jozef Skorupa ◽  
Peter Lambert ◽  
Rik Van de Walle ◽  
...  
Keyword(s):  
Video Coding ◽  
Distributed Video Coding ◽  
Noise Estimation ◽  
Quantization Noise ◽  
Correlation Noise

scholarly journals Correlation Noise Estimation in Distributed Video Coding

10.5772/14730 ◽  
2011 ◽  
Author(s):  
Jrgen Slowack ◽  
Jozef korupa ◽  
Stefaan Mys ◽  
Nikos Deligiannis ◽  
Peter Lambert ◽  
...  
Keyword(s):  
Video Coding ◽  
Distributed Video Coding ◽  
Noise Estimation ◽  
Correlation Noise

Hybrid Distributed Correlation Noise Model and Parameter Estimation

2015 ◽  
Vol 752-753 ◽  
pp. 1110-1115
Author(s):  
Rui Cai ◽  
Deng Yin Zhang
Keyword(s):  
Parameter Estimation ◽  
Video Coding ◽  
Side Information ◽  
Cauchy Distribution ◽  
Estimation Algorithm ◽  
Distributed Video Coding ◽  
Noise Model ◽  
Transform Domain ◽  
Laplacian Distribution ◽  
Correlation Noise

In transform domain distributed video coding scheme, we found that there was a certain deviation between Laplacian statistical distribution and the distribution of small and large residual coefficients. To reduce this deviation, this paper proposes a hybrid distribution correlation noise model (HDCNM) based on K-Mediods, which models small coefficients as improved Laplacian distribution while modeling large ones as Cauchy distribution. The parameter estimation algorithm is also given. The experimental results show that the hybrid model proposed in this paper can describe the distribution of residual coefficients between WZ frame and side information accurately, so as to improve the distortion performance of transform domain distributed video coding effectively, and reduce the computational complexity of decoder.

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