Design image encryption then compression system using prediction error clustering with haar wavelet transform

Volume: 3    Issue: 2

Year of Publication: 2016

Pages: (45-51)

Authors: Harkanwal Preet kaur, Rupinder kaur

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Abstract

Presently these days there is accelerated advancement in multimedia and network technologies. For that reason the privacy and security evolves into the preeminent issues because the multimedia is disseminated openly over network. In our proposed work, asymmetric key encryption is used means where encryption key is known to everyone where decryption key is known to receiver side that allow receiver to read the encrypted image. The proposed scheme of encrypting image is operated with prediction error clustering method that is shown to provide high level of security reasonably. After that image compression algorithm is implemented using Haar Wavelet Transform which efficiently compresses the image encrypted. The compression approach applied to encrypted image is proved more efficient in terms of Compression Ratio (CR), Mean Square Error (MSE), Peak Signal to Noise Ratio (PSNR), Entropy and Bit error rate (BER). For the implementation of this proposed work we use image processing toolbox under MATLAB software.

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Keywords

ETC, Encryption, Compression, Haar wavelet, mean square error, CR, peak signal to noise ratio, entropy, bit error rate.