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基于自适应非局部均值滤波的图像去块算法
Image Deblocking with Adaptive Non-local Means Filter
【摘要】 针对传输和存储中原始图像被JPEG和MPEG等标准进行压缩而产生的块效应,提出了一种图像去块算法.该算法选取非局部均值滤波作为框架,并通过机器学习来确定和优化参数,使得非局部均值滤波可以做到自适应处理.结果表明,该算法去块效果优于目前最新的形状自适应滤波法和维纳滤波法.
【Abstract】 Common image compression standards such as JPEG and MPEG can lead to blocking artifacts which causes serious image degradation.In this paper,a non-local means filter for deblocking was pro-posed and its parameters were adaptively optimized by machine learning.The experimental results prove that the proposed algorithm constantly outperforms the peer ones on all kinds of images.
【基金】 国家自然科学基金资助项目(60902072);教育部博士点新教师基金项目(20090073120030)
- 【文献出处】 上海交通大学学报 ,Journal of Shanghai Jiaotong University , 编辑部邮箱 ,2013年12期
- 【分类号】TP391.41
- 【被引频次】6
- 【下载频次】260