Encryption of Stereo Images after Compression by Advanced Encryption Standard (AES)

Marwah k Hussien

Abstract


New partial encryption schemes are proposed, in which a secure encryption algorithm is used to encrypt only part of the compressed data. Partial encryption applied after application of image compression algorithm. Only 0.0244%-25% of the original data isencrypted for two pairs of dif-ferent grayscale imageswiththe size (256 ´ 256) pixels. As a result, we see a significant reduction of time in the stage of encryption and decryption. In the compression step, the Orthogonal Search Algorithm (OSA) for motion estimation (the dif-ferent between stereo images) is used. The resulting disparity vector and the remaining image were compressed by Discrete Cosine Transform (DCT), Quantization and arithmetic encoding. The image compressed was encrypted by Advanced Encryption Standard (AES). The images were then decoded and were compared with the original images. Experimental results showed good results in terms of Peak Signal-to-Noise Ratio (PSNR), Com-pression Ratio (CR) and processing time. The proposed partial encryption schemes are fast, se-cure and do not reduce the compression performance of the underlying selected compression methods

Keywords


Stereoimaging, Stereoimage compression, Imageencryption, cryptography.

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References


Karthik A., Chandra S. and Das S. ,“3D Tool Wear Measurement and Visualization Using Stereo Imaging” in International Journal of Machine Tools and Manufac-ture, pp 1531-1522, 2005.

Beil W. and Carlsen I., “Surface recon-struction from stereoscopy and “shape from shading” in SEM images in Machine Vision and Applications, pp281-295, 2010.

Shi Q. and Sun H., “Image and Video Compression for Multimedia Engineer-ing”, 2000.

Turaga D., Alkanhal M. ,” Search of Block Matching Algorithms in Motion Estima-tion”, International Journal of advanced Science and Technology, Vol.32, July, 2011.

Wang Y., OstermannJ. ,”Video Processing and Communications”, Prentice Hall, Up-per Saddle River, 2001.

Fisch M. M., Stِ gner H., Uhl A., “Layered Encryption Techniques for DCT-Coded Visual Data”, In Proceedings (CD-ROM) of the European Signal Processing Confer-ence, EUSIPCO ’04, Vienna, Austria, Sep-tember 2004.

SahaS. ,“Image Compression-From DCT to Wavelet: A Review”, ACM Crossroads Student Magazine, The ACM’s First Elec-tronic Publication, 2001.

Salomon D., “Data Compression” second edition, 2002.

Watson J., “Image Compression Using Discrete Cosine Transform” Mathematic journal, 2007.

Hameed A. Y., “New Techniques for Par-tial Encryptionof Wavelet-based Com-pressed, May 2012.

Beegan A. P., “Wavelet-based Image Compression Using Human Visual System Models” M. Sc. Thesis, Electrical Engi-neering Department, Virginia Polytechnic Institute and State University, Blacksburg, Virginia, May 2001.

Marwa K., “Video Compression by Wave-let Technique”, M. Sc. Thesis, Department of Information Systems, College of Com-puter Sciences and Information Technolo-gy, University of Basrah, IRAQ, April 2013.




DOI: http://dx.doi.org/10.23851/mjs.v28i2.511

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