Representing Compressed Data by Images

M. Madi (United Arab Emirates)


Encryption, Decryption, Cryptography, RGB image, Huffman encoding


This paper presents a new data transformation technique that uses algorithms from fields of data compression, data encryption and imaging to convert data into an image. The purpose of such transformation is twofold: i) reduce data size by means of data compression algorithms, and ii) guarantee that data stays sufficiently cryptic for all unauthorized users that could gain access to the resource containing data by means of some encryption algorithms. The result of such transformation is a colourful and “dotty” mn× image. As the image becomes accessible to an authorized user, inverse algorithms are applied to the image to transform it back to the original data. One end result of such transformation is that although data is both compressed and encrypted, it can still be viewed as an image or manipulated as an editable file -- an attractive feature that promises numerous advances in applications related to data storage and transmission, string operations, and security.

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