CONVOLUTION MERGING TECHNIQUE FOR IMAGE ENCRYPTION APPLICATION

Multimedia apps on the Internet have grown in popularity in recent years. Because of the rapid development in the usage of multimedia information, data storage and transmission security has become increasingly crucial. Encryption is a useful tool for keeping multimedia data private. Various approaches for encrypting photos to make them more secure are discovered on a regular basis. Here developed a method to merge two types of images which is grayscale and RGB image. Initially, the image is converted into a digital format with the help of MATLAB. It is then fed to the top image module for merging and a digital output file is generated. This file is then reverted back to analog form for visualization purposes with the help of MATLAB. For computing RGB image, the image is split into 3 classes containing the reds, greens and blues of the image. These classes are separately convolved using the image multiplier module designed in Xilinx ISE. This results in the generation of 3 digital output files which are Output_red, Output_green and Output_blue. These files are then combined to form a single-color image and visualized using MATLAB. The structure is shown below. For a grayscale image, a single image multiplier is sufficient to compute or perform image merging. Here, it's no need to split the image into RGB because the image consists different shades of black. Upon processing, a single digital file is generated and this file is visualized using MATLAB.