Affiliation:
1. Bhilai Institute of Technology Durg (C.G.)
2. National Institute of Technology Raipur
Abstract
Abstract
The goal of the project is to create a cutting-edge picture encryption technique that can be used to significantly boost the security of encrypted photographs. Since visible electromagnetic spectrum pictures are a difficulty, we provide an ideal homomorphic image encryption method to address the issue. Therefore, in our encryption phase, the numerical intensity value of a pixel from each channel is represented as the average of smaller pixel intensity sub-values. Therefore, each R, G, and B-channel picture is composed of a number of separate photographs. using an encryption key and aOptimized Homomorphic Encryption method, intensity of every pixel sub-value in every component picture is individually encrypted to provide a distributed picture encryption solution. Before being moved or stored, each encrypted component picture may be compressed. Before beginning the decryption process, each encrypted component picture is first, if required, decompressed. The homomorphic characteristic of the encryption technique is then used to encrypt the total of each encrypted component image's individually encrypted pixel intensity sub-values. To optimise the embedding rate of additional data during the encryption phase, six surrounding pixels are combined as a set, creating a novel method. Then, each channel image's original pixel intensities are restored, and extraneous data is removed from the total data. The intensity value for each channel's pixel in this kind of RGB image encryption and decryption, which is likewise created and simulated using software, is represented as the sum of merely two sub-values. The produced cypher pictures are subjected to several security evaluations and tests. The outcomes of these experiments showed the stability and resilience of the homomorphic picture encryption method we proposed, which also improved the security of the connected encrypted photos. Photos that utilise our homomorphic image encryption technique and are incredibly safe.
Publisher
Research Square Platform LLC
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