Assessing the performance of a method of simultaneous compression and encryption of multiple images and its resistance against various attacks

Abstract

We introduce a double optimization procedure for spectrally multiplexing multiple images. This technique is adapted from a recently proposed optical setup implementing the discrete cosine transformation (DCT). The new analysis technique is a combination of spectral fusion based on the properties of DCT, specific spectral filtering, and quantization of the remaining encoded frequencies using an optimal number of bits. Spectrally multiplexing multiple images defines a first level of encryption. A second level of encryption based on a real key image is used to reinforce encryption. A set of numerical simulations and a comparison with the well known JPEG (Joint Photographic Experts Group) image compression standard have been carried out to demonstrate the improved performances of this method. The focus here will differ from the method of simultaneous fusion, compression, and encryption of multiple images (SFCE) [Opt. Express 19, 24023 (2011)] in the following ways. Firstly, we shall be concerned with optimizing the compression rate by adapting the size of the spectral block to each target image and decreasing the number of bits required to encode each block. This size adaptation is achieved by means of the root-mean-square (RMS) time-frequency criterion. We found that this size adaptation provides a good tradeoff between bandwidth of spectral plane and number of reconstructed output images. Secondly, the encryption rate is improved by using a real biometric key and randomly changing the rotation angle of each block before spectral fusion. By using a real-valued key image we have been able to increase the compression rate of 50% over the original SFCE method. We provide numerical examples of the effects for size, rotation, and shifting of DCT-blocks which play noteworthy roles in the optimization of the bandwidth of the spectral plane. Inspection of the results for different types of attack demonstrates the robustness of our procedure.

Chaos based crossover and mutation for securing DICOM image

“…The intrinsic behaviours of medical image include (i) bulk pixel capacity, (ii) large data size, (iii) high correlation among pixels, (iv) high redundancy and (v) low resolution. To meet these security challenges various conventional security algorithms have been proposed by many researchers [5][6][7][8][9]. The fascinating relationships between chaos and cryptography have attracted many researchers to develop various encryption schemes based on 1-D and 2-D chaotic maps in the past two decades [10].…”

Review of Image Compression and Encryption Techniques

“…Alfalou et al [31] proposed simultaneous fusion, compression, and encryption of multiple images (SFCE) methods to obtain image compression and encryption simultaneously. The proposed techniques adapt the DCT method, by combining spectral fusion according to DCT properties, particular spectral filtering, and quantization of encoded frequency using select bit number.…”

SoC-Based Edge Computing Gateway in the Context of the Internet of Multimedia Things: Experimental Platform

“…The latter are fused in a random manner to constitute a compressed and ciphered image. An improved version of the original work has been proposed in [24], where the size of the spectral block was adapted to the target image. The size adaptation is performed by applying the root-mean-square (RMS) time-frequency criterion.…”

“…The flow chart of the encryption scheme used in this work was inspired by that of [26], where an improvement of the existing method in [24] is provided by using a software-based implementation. Extensive numerical simulations have been illustrated in [31] to prove the robustness of the proposed scheme against brute force, statistical, differential, and chosen plaintext attacks.…”