Adaptive Non-local Means Filtering For Image Deblocking

摘要：

In this paper, a novel deblocking algorithm is proposed to remove the blocking artifacts in images compressed by block discrete cosine transform (BDCT), using an adaptive non-local means filter. We prefer block as the basic processing unit, whose estimation is obtained as a weighted sum of neighborhood blocks. The weights are defined as a multivariate Gaussian with a covariance matrix that depends on the difference between the quantization noise of the block and that of its neighborhood blocks. The weights react adaptively to both block content and quantization noise intensity. Extensive experimental results and comparative studies are proposed to demonstrate the effectiveness of the proposed deblocking algorithm.

关键词： image deblocking block discrete cosine transform non-local means filtering

作者: Shiwen Shen Xiangzhong Fang Ci Wang

作者单位: Institute of Image Communication and Information Processing,Shanghai Jiao Tong University, Shanghai 200240, China

会议类型: 国际会议

会议名称: 2011 4th International Congress on Image and Signal Processing(第四届图像与信号处理国际学术会议 CISP 2011)

会议地点: 上海

会议语种:英文

页码: 671-674

在线出版日期: 2011-10-15（万方平台首次上网日期，不代表论文的发表时间）