This project is used in the healthcare system for fake image recognition to confirm that the image is associated with the medical image or not.
The working principle of this project is on a noise chart of an image, uses a multi-resolution failure filter, and gives the output to the classifiers like extreme learning and support vector.
The noise-map is formed in a boundary computing source, as the while the classification and filtering are completed in a core cloud-computing source. Similarly, this project works effortlessly. The requirement of bandwidth is also very reasonable for this project.