Adaptive Fuzzy Filtering for Artifact Reduction in Compressed Images and Videos

被引：45
|
作者：
Vo, Dung T. [1 ]
Nguyen, Truong Q. [1 ]
Yea, Sehoon [2 ]
Vetro, Anthony [2 ]
机构：
[1] Univ Calif San Diego, Dept Elect & Comp Engn, La Jolla, CA 92037 USA
[2] Mitsubishi Elect Res Labs, Cambridge, MA 02139 USA
来源：
IEEE TRANSACTIONS ON IMAGE PROCESSING | 2009年 / 18卷 / 06期
关键词：
Artifact reduction; flickering metric; fuzzy filter; motion compensated spatio-temporal filter;
D O I：
10.1109/TIP.2009.2017341
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A fuzzy filter adaptive to both sample's activity and the relative position between samples is proposed to reduce the artifacts in compressed multidimensional signals. For JPEG images, the fuzzy spatial filter is based on the directional characteristics of ringing artifacts along the strong edges. For compressed video sequences, the motion compensated spatiotemporal filter (MCSTF) is applied to intraframe and interframe pixels to deal with both spatial and temporal artifacts. A new metric which considers the tracking characteristic of human eyes is proposed to evaluate the flickering artifacts. Simulations on compressed images and videos show improvement in artifact reduction of the proposed adaptive fuzzy filter over other conventional spatial or temporal filtering approaches.
引用
收藏
页码：1166 / 1178
页数：13
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