Optimizing the fuzzy transform using key points for image compression

Abstract

In this project we work with the F-Transform and its application to image compression. With images that contain a single object with a constant background as a target, the main idea is to try to make a better approximation of the inverse F-Transform finding a better partition for each image applying a prior key point detection so that the F-Transform can be focused on the objects in the image. We make an optimization of the code for both the F-Transform and the approximation of its inverse, propose a method to find a better fuzzy partition and optimize it based on the magnitude of the first derivative of the image and lastly propose different methods that separate the object from the image to try to improve the results.