A Fast Discrete Cosine Transform and a Cryptographic Technique for Authentication and Security of Digital Images
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In a cyberspace where disparate applications are engaged in multimedia transmission, data compression is a key for maintaining bandwidth usage efficiency as well meeting the data requirements of the disparate applications. Security of data in such environment needed to be guaranteed. Cryptographic approaches engaged in the process have to be efficient enough to stand against attacks and also to maintain important visual continents after compression. In our work, we proposed a fast discrete cosine transform and a cryptographic technique for authentication and security of digital images. The cryptographic approach was applied to the image after compression, and before decompression, the image was successfully decrypted without significant loss of visual data. There was a loss in pixel values due to the compression process. The implementation of the proposed approach was done successfully and analysis of the output results was done using MATLAB.
KeywordsDiscrete Wavelet Transform Encrypt Image Plain Image Cipher Image Cryptographic Technique
This work was supported by Lab-STICC (UMR CNRS 6285) at UBO France, AWBC Canada, Ambassade de France-Institut Français-Ghana and the DCSIT-UCC, and also Dominique Sotteau (formerly directeur de recherche, Centre national de la recherche scientifique (CNRS) in France and head of international relations, Institut national de recherche en informatique et automatique, INRIA) and currently the Scientific counselor of AWBC.
- 2.Tomar, R., Patni, J.C., Dumka, A., Anand, A.: Blind watermarking technique for grey scale image using block level discrete cosine transform (DCT). In: Satapathy, S.C., Govardhan, A., Srujan Raju, K., Mandal, J.K. (eds.) Emerging ICT for Bridging the Future-Proceedings of the 49th Annual Convention of the Computer Society of India CSI Volume 2, vol. 338, pp. 81–89. Springer, Heidelberg (2015)Google Scholar
- 5.Furqan, A., Kumar, M.: Study and analysis of robust DWT-SVD domain based digital image watermarking technique using MATLAB. In: 2015 IEEE International Conference on Computational Intelligence and Communication Technology (CICT), pp. 638–644. IEEE, February 2015Google Scholar