Maximum-likelihood parameter estimation for image ringing-artifact removal

被引：45
作者：
Yang, S
Hu, YH
Nguyen, TQ
Tull, DL
机构：
[1] Univ Wisconsin, Dept Elect & Comp Engn, Madison, WI 53706 USA
[2] Boston Univ, Dept Elect & Comp Engn, Boston, MA 02215 USA
来源：
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY | 2001年 / 11卷 / 08期
关键词：
hierarchical clustering; image ringing-artifact; maximum-likelihood estimation; robust filter;
D O I：
10.1109/76.937440
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
At low bit rates, image compression codecs based on overlapping transforms introduce spurious oscillations known as ringing artifacts in the vicinity of major edges. Unlike previous works, we present a maximum-likelihood approach to the ringing-artifact removal problem. Our approach employs a parameter-estimation method based on the k-means algorithm with the number of clusters determined by a cluster-separation measure. The proposed algorithm and its simplified approximation are applied to JPEG2000 compressed images. Our results show effective and efficient removal of ringing artifacts.
引用
收藏
页码：963 / 973
页数：11
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