ImageCompressionAndEncryption-master

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The security of images has become a high priority in the multimedia and technological world of information. The value of the image is dependent on the information of which it holds, techniques of image encryption have been developed and proposed to adhere

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In today's multimedia and technological world, the security of images has become a top priority in the realm of information. This is because the value of an image largely depends on the information it holds, and the unauthorized access to such information can result in dire consequences. To ensure the protection of images, various techniques of image encryption have been developed and proposed. One such technique is the compressive sensing technique, which has gained considerable attention in recent years.

Compressive sensing technique is a novel technique that simultaneously completes sampling and compression. This technique has been used in combination with other encryption methods to enhance the security of an image. Previous research has shown that the technique is highly effective and has a proven track record of high performance. In fact, compressive sensing-based encryption has been found to be computationally secure and robust. The intrinsic multidimensional projection perturbation feature of the technique makes privacy breaching difficult, ensuring that the image remains secure.

However, the existing compressive-based encryption algorithms adopt the entire measurement matrix as the key. This results in a key that is too large in size to allocate or distribute, and it becomes strenuous to memorize. Moreover, in the previous scheme, performing compression and encryption simultaneously was infeasible, leading to inefficiency.

To overcome these challenges, a hybrid compression technique was developed. In this technique, the measurement matrix is controlled by keys and constructed as a circulant matrix. The original image is divided into four blocks, which are then compressed and encrypted. The four compressed and encrypted blocks are scrambled by random pixel exchanging with the random matrices. This ensures that the image is secure and that privacy is not breached.

In conclusion, the use of compressive sensing technique in combination with other encryption methods has proved to be a highly effective way of enhancing the security of an image. The hybrid compression technique has also overcome the existing challenges of compressive-based encryption algorithms, making it a more secure and efficient way of encrypting images.