A reduced complexity approach for image compression using 1-D & 2-D chaos functions

To match the pace of continuous development and ever expanding internet world, the security and compression issues relevant to the data handling and communication are becoming prominent. The demand of these factors is increasing with the requirement of ease of communication of digital multimedia. Thus the encryption of data plays a vital role in such communication. It can be seen that the major requirements in case of transaction of bulky image information is the encryption of digital image data followed by its compression using an efficient mechanism. The image encryption is not as smooth as text encryption, but somewhat more difficult due to its large size, high correlation among pixels and redundancy. Such factors increase the computation time for image encryption and compression. Thus there is great demand of mechanisms which can perform this activity in reduced computation time [1-5]. In this paper, we have introduced an improvement in computation time of existing image encryption-decryption methods through the usage of chaos functions based logistic map along with Discrete Wavelet Transform method.