A maximum entropy Kalman filter for image compression

被引：0

作者：

David, A ^{[1
]}

Aboulnasr, T ^{[1
]}

机构：

[1] Univ Ottawa, Fac Engn, Sch Informat Technol & Engn, Commun & Signal Proc Lab, Ottawa, ON K1N 6N5, Canada

来源：

PROCEEDINGS OF THE 43RD IEEE MIDWEST SYMPOSIUM ON CIRCUITS AND SYSTEMS, VOLS I-III | 2000年

关键词：

D O I：

暂无

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：

In this paper, we propose a novel compression method applicable to digital images. We employ Maximum Entropy (ME) as the optimization criterion and Kalman Filter (KF) as means of implementing the compressor. We will show for compression ratios comparable to those of traditional methods, such as JPEG, the high frequency components of the signal, i.e. texture and edges, are preserved. The motivation for using ME as the optimization criterion is to avoid over-smoothing of the signal associated with traditional methods based on Mean Square Error (MSE). The ME criterion is motivated by the fact that it does not make any assumptions, regarding the unobserved data.

引用

页码：884 / 887

页数：4

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