Electronics, Communication & Automation Technology

Adaptive Noise Model Estimation Based on Residual Sub-Band Grouping in DVC

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  • School of Electronic and Information Engineering,South China University of Technology,Guangdong 510640,Guangdong,China
杨春玲(1970-),女,博士,教授,主要从事图像/视频压缩研究.

Received date: 2014-12-08

  Revised date: 2015-02-09

  Online published: 2015-05-07

Supported by

Supported by the National Natural Science Foundation of China(61471173,60972135)

Abstract

In order to improve the estimation accuracy of noise model and the rate-distortion performance of the sys-tem,an adaptive noise model estimation method on the basis of residual sub-band grouping is proposed. In this method,firstly,residual sub-bands are grouped according to their frequencies. Secondly,feature vectors are generated from the residual coefficients of all sub-bands in the same group. Then,the coefficients in each sub-band are clustered into different classes by means of improved fuzzy c-means clustering. Finally,the noise para-meters of each class of residual coefficients are estimated successfully. Experimental results show that,in compari-son with the method on the basis of adjacent sub-band clustering and variance estimation,the proposed method matches the residual distribution characteristics more accurately,improves the average rate-distortion performance by 0. 60dB,and saves the decoding time by 40. 59%.

Cite this article

Yang Chun-ling Wu Juan Zheng Bo-wei . Adaptive Noise Model Estimation Based on Residual Sub-Band Grouping in DVC[J]. Journal of South China University of Technology(Natural Science), 2015 , 43(5) : 1 -7 . DOI: 10.3969/j.issn.1000-565X.2015.05.001

References

下火凤凰于海军

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