Information Hiding Using Private Content-Based Random Encryption and Data Reduction for RGB Images

In this research work, we have successfully reduced the content present in red-green-blue (RGB) image for secure transmission, for this purpose, we have used a private content-based image encryption (PCBIE), model. The PCBIE model works on three basic steps image encryption followed by first-order statistical parameter calculation for the encrypted image and original image and finally a comparison of the obtained parameters with the original image parameters. Through this methodology, one can easily prevent the original identity of the image. Here, we have taken four different categories of images and performed encryption on them, in the result, we have obtained that identity of the image is totally hidden and one can identify the original image only on the basis of the parameter value. The first-order statistical parameter includes the mean, variance, and standard deviation.