APPARATUS FOR COMPENSATING IMAGE ACCORDING TO PROBABLISTIC NEURAL NETWORK THEORY AND METHOD THEREOF

摘要

An apparatus for compensating an image by using a probabilistic neural network theory and a method thereof are disclosed. The image compensating apparatus includes: an error pixel detecting unit for detecting an error pixel generating an error among pixels included in a current image frame; and a neural network unit for storing a learning result of the current image frame by learning the current image frame and estimating a pixel value of the error pixel detected form the error pixel detecting unit by using the learning result of a previous image frame. The apparatus and method provides a high quality image to a user and can facilitate an artificial intelligence (AI) image compensating apparatus.