Abstract
This paper presents a novel scheme for the compression of encrypted images through which we can efficiently compress the encrypted images without compromising either the compression efficiency or the security of the encrypted images. In the encryption phase, content owner encrypts the original image using pseudorandom numbers which are derived from a secret key. Then, the channel provider without the knowledge of secret key can compress the encrypted image. For compression, encrypted image is decomposed into subimages and each of these subimages is compressed independently using quantization and wavelet difference reduction coding technique. Then the compressed data obtained from all the subimages is regarded as the compressed bit stream. At receiver side, a reliable decompression and decryption technique is used to reconstruct the image from compressed bit stream. To evaluate the performance, the proposed technique has passed through a number of test cases such as compression ratio (CR) and peak signal-to-noise ratio (PSNR). All the analysis and experimental results clearly show that the proposed encryption-then-compression technique is reckon secure and shows good compression performance. To show the efficiency of proposed work it is compared with a well-known scheme on compression of encrypted images and experimental results show better compression performance with improved image quality.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Slepian, D., Wolf, J.K.: Noiseless coding of correlated information sources. IEEE Trans. Inf. Theory IT-19, 471–480 (1973)
Wyner, A., Ziv, J.: The rate-distortion function for source coding with side information at the decoder. IEEE Trans. Inf. Theory IT-22, 1–10 (1976)
Pradhan, S.S., Ramchandran, K.: Distributed source coding using syndromes (DISCUS): design and construction. IEEE Trans. Inf. Theory 49, 626–643 (2003)
Gallager, R.G.: Low density parity check codes. Ph.D dissertation, MIT (1963)
Schonberg, D., Draper, S.C., Yeo, C., Ramchandran, K.: Toward compression of encrypted images and video sequences. IEEE Trans. Inf. Forensics Secur. 3(4), 749–762 (2008)
Johnson, M., Ishwar, P., Prabhakaran, V. M., Schonberg, D., Ramchandran, K.: On compressing encrypted data. IEEE Trans. Signal Process. 52(10), 2992–3006 (2004)
Schonberg, D., Draper, S.C., Ramchandran, K.: On compression of encrypted images. Proc. IEEE Int. Conf. Image Process. 128(3), 112–124 (1987)
Schonberg, D., Draper, S.C., Ramchandran, K.: On blind compression of encrypted correlated data approaching the source entropy rate. In: Proceedings of 43rd Annual Allerton Conference, Allerton, IL, USA (2005)
Lazzeretti, R., Barni, M.: Lossless compression of encrypted gray-level and color images. In: Proceedings of 16th European Signal Processing Conference, pp. 1–5 (2008)
Kumar, A., Makur, A.: Distributed source coding based encryption and lossless compression of gray scale and color images. In: Proceedings of MMSP, pp. 760–764 (2008)
Liu, W., Zeng, W., Dong, L., Yao, Q.: Efficient compression of encrypted gray scale images. IEEE Trans. Signal Process. 19(4), 1097–1102 (2010)
Klinc, D., Hazay, C., Jagmohan, A., Krawczyk, H., Rabin, T.: On compression of data encrypted with block ciphers. IEEE Trans. Inf. Theory 58(11) 6989–7001 (2012)
Kumar, A., Makur, A.: Lossy compression of encrypted image by compressing sensing technique. In: Proceedings of TENCON2009 IEEE Region 10 Conference, vol. C-23, no. 1, pp. 1–6 (2009)
Zhang, X.: Lossy compression and iterative reconstruction for encrypted image. IEEE Trans. Inf. Forensics Secur. 6(1), 53–58 (2011)
Zhang, X., Feng, G., Ren, Y., Qian, Z.: Scalable coding of encrypted images. IEEE Trans. Image Process. 21(6), 3108–3114 (2012)
Zhang, X., Sun, G., Shen, L., Qin, C.: Compression of encrypted images with multilayer decomposition. IEEE Trans. Signal Process. 78(3), 1–13 (2013)
Zhang, X., Ren, Y., Shen, L., Qian, Z., Feng, G.: Compressing encrypted images with auxiliary information. IEEE Trans. Multimedia 16(5), 1327–1336 (2014)
Zhou, J., Liu, X., Rao, K.R.: Designing an efficient image encryption-then-compression system via prediction error clustering and random permutation. IEEE Trans. Inf. Forensics Secur. 9(1), 39–50 (2014)
Tian, J., Wells, R.O., Jr.: Image data processing in the compressed wavelet domain. In: Yuan, B. Tang, X. (eds.) Proceedings of 3rd International Conference on Signal Processing, vol. 147, no. 2, pp. 978–981 (1996)
Vaish, A., Kumar, M.: WDR coding based image compression technique using PCA. In: IEEE International Conference of Signal Processing and Communication, pp. 356–361 (2015)
Tian, J., Wells, R.O., Jr.: Embedded image coding using wavelet difference reduction. In: Topiwala, P. (ed.) Wavelet Image and Video Compression. Kluwer Academic Publication, pp. 289–301 (1998)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer Science+Business Media Singapore
About this paper
Cite this paper
Manoj Kumar, Ankita Vaish (2016). An Efficient Compression of Encrypted Images Using WDR Coding. In: Pant, M., Deep, K., Bansal, J., Nagar, A., Das, K. (eds) Proceedings of Fifth International Conference on Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing, vol 436. Springer, Singapore. https://doi.org/10.1007/978-981-10-0448-3_61
Download citation
DOI: https://doi.org/10.1007/978-981-10-0448-3_61
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-10-0447-6
Online ISBN: 978-981-10-0448-3
eBook Packages: EngineeringEngineering (R0)