Efficient secured lossless of medical images: Using a new fast embedded significant and zero set coding in hierarchical trees (ESZSCHT) and modified runlength coding

被引：0

作者：

Geetha, P. ^{[1
]}

Annadurai, S. ^{[2
]}

机构：

[1] Dept. of CSE, College of Engineering Guindy, Chennai-600 025, India

[2] Govt. College of Engineering, Tirunelvelli-627 007, India

来源：

Advances in Modelling and Analysis B | 2007年 / 50卷 / 1-2期

关键词：

Arithmetic Coding - Embedded significant and zero set coding in hierarchical trees algorithms - Lossless compression - Modified runlength coding - Reversible integer wavelet transform - Secure transmission - Selective bit scrambling;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

Lossless compression schemes with secure transmission play a key role in telemedicine applications that help in accurate diagnosis and research. Traditional cryptographic algorithms for data security are not fast enough to process vast amount of data. Hence a novel Secured lossless compression approach proposed in this paper is based on reversible integer wavelet transform, Embedded Significant and Zero Set Coding in Hierarchical Trees(ESZSCHT) algorithm, new modified runlength coding for character representation and selective bit scrambling. The use of the lifting scheme allows to generate truly lossless integer-to-integer wavelet transforms. Images are compressed/ decompressed by the new ESZSCHT algorithm and the proposed modified runlength coding greatly improves the compression performance and also increases the security level. This work employs scrambling method which is fast, simple to implement and it also provides security. Lossless compression ratios and distortion performance of this proposed method are found to be better than other lossless techniques.

引用

页码：18 / 35