Enhance Performance of Secure Image Using Wavelet Compression

Authors: Goh Han Keat, Azman Samsudin Zurinahni Zainol

Abstract:

The increase popularity of multimedia application especially in image processing places a great demand on efficient data storage and transmission techniques. Network communication such as wireless network can easily be intercepted and cause of confidential information leaked. Unfortunately, conventional compression and encryption methods are too slow; it is impossible to carry out real time secure image processing. In this research, Embedded Zerotree Wavelet (EZW) encoder which specially designs for wavelet compression is examined. With this algorithm, three methods are proposed to reduce the processing time, space and security protection that will be secured enough to protect the data.

Keywords: Embedded Zerotree Wavelet (EZW), Imagecompression, Wavelet encoder, Entropy encoder, Encryption.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1085361

References:

[1] SHAPIRO, J. M., ''Embedded Image Coding Using Zerotrees in the EZW Algorithm.'' IEEE Transactions on Signal Processing, December 1993, Vol. 41, No 12, pp. 3445-3462
[2] Subhasis Saha, Image Compression '' from DCT to Wavelets: Review
[3] SHAPIRO, J. M., ''A Fast Technique for Identifying Zerotrees in the EZW Algorithm'' Proc. Of IEEE International Conference on Acoustics, Speech and Signal Processing, May 1996, Vol. 3, pp. 1455-1458
[4] C. Valens, ''Embedded Zerotree Wavelet Encoding'', 1999
[5] PAUL G.HOWARD and JEFFREY SCOTT VITTER, "Arithmetic Coding for Data Compression".
[6] William Stalling, ''Cryptography and Network Security'', Prentice Hall, 2003, Third Edition.
[7] M.J.B Robshaw, "Stream Ciphers", RSA Laboratories Technical Report TR-701, 25 July, 1995, Version 2.