Compressive sensing-Based Multiple Description Image Coding for Wireless Channel

摘要：

A new theory, known as Compressive Sensing (CS), has recently proved that sparse or compressible signal can be accurately reconstructed from very highly undersampled data by solving by solving a convex L1 optimization problem. This paper, based on such new theory, presents a novel multiple description coding (MDC) method to combat packet loss. According to compressive sensing framework, our method has an attractive property that the reconstruction error only depends on the received measurement number but not on which measurements are received. Another advantage of our method is that it is a balanced MDC scheme with fine description granularity and low encoding complexity.

作者: Danhua Liu Dahua Gao Guangming Shi

作者单位: Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian Un Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian Un

会议类型: 国际会议

会议名称: 2010年无线通信与信号处理国际会议

会议地点: 上海

会议语种:英文

页码: 1-5

在线出版日期: 2010-10-20（万方平台首次上网日期，不代表论文的发表时间）