Compression of Encrypted Images in Prediction Error Domain

Betcy K Joy*, Baby Dhanya S. N**
* M.Tech Student, Department of ECE, Christ Knowledge City, Manoor.
** Associate Professor, Department of ECE, Christ Knowledge City, Manoor.
Periodicity:April - June'2015
DOI : https://doi.org/10.26634/jip.2.2.3403

Abstract

The rapid development of techniques requires fast and secure transmission of images through the network. Traditional way of secure transmission is, to encrypt the compressed images. Even if this meets security prerequisites, this situation may be reversed. Therefore, an efficient image encryption then compression system (ETC) in prediction error domain is introduced. In this system, image is encrypted by calculating the prediction error of each pixel followed by encoding techniques. The encoding is done by simple arithmetic coding method. Simulation results shows that bit rate can be reduced to 12.

Keywords

Encryption, Compression, Prediction, ZigZag Scanning.

How to Cite this Article?

Joy, B.K., and Dhanya, S.N.B. (2015). Compression of Encrypted Images in Prediction Error Domain. i-manager’s Journal on Image Processing, 2(2), 20-25. https://doi.org/10.26634/jip.2.2.3403

References

[1]. Jiantao Zhou, Xianming Liu, Oscar C Au, Yuan Yan Tang (2014). “Designing an efficient image encryption then compression system via prediction error clustering and random permutation ” IEEE trans. Inf. Forensics Security, Vol. 9, No.1, pp. 39-50.
[2]. Feng-yang-Hsiech, Chia-ming Wang, Chun-chieh Lee, Kuo-Chin Fan, (2008). “A lossless image coder integrating predictors and block adaptive prediction”, Journal of Inf. Science and eng, Vol. 24, pp.1579-1581.
[3]. AleksejAvramovic, GoranBanjac, (2012). “On predictive- based lossless compression of images with higher bit depths.”TelforJournel, Vol. 4, No. 2, pp. 122-127.
[4]. Xiaolin Wu, NaserMenon, “CALIC-A context based adaptive lossless image codec” ftp://ftp.csd.uwo.edu/ pub/from_wu.
[5]. KazysKazlauskas, JauniusKazlauskas, (2009). “Key dependent S-box generation in AES block” Informatica, Vol. 20, No. 1, pp. 23-34.
[6]. Wei Liu, WenjunZeng, Lina Dong, and Qiuming Yao,“ (2012). Efficient Compression of Encrypted Grayscale Images Theory, IEEE Trans Image Process, Vol. 19, No. 4, pp. 1097-102.
[7]. KamrulHasanTalukder, Koichi Harada, “Haarwavelet based approach for image compression and quality assessment of compressed image” IAENG International Journel of Applied Mathematics, 36:1, IJAM_36_1_9.
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