Adaptive noise model estimation based on residual sub-band grouping in DVC

作者：Yang, Chun-Ling; Wu, Juan; Zheng, Bo-Wei

来源：Journal of South China University of Technology(Natural Science Edition), 2015, 43(5): 1-7.

DOI：10.3969/j.issn.1000-565X.2015.05.001

• Feature vectors
• Improved fuzzy c-means clustering
• Noise modeling
• Noise parameters
• Rate distortion performance
• Residual distribution
• Subbands
• Variance estimation

In order to improve the estimation accuracy of noise model and the rate-distortion performance of the system, 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 parameters of each class of residual coefficients are estimated successfully. Experimental results show that, in comparison 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 0.60 dB, and saves the decoding time by 40.59%.

• 出版日期2015-5-1
• 单位华南理工大学