IMAGE RESTORATION MACHINE LEARNING ALGORITHM USING COMPRESSION PARAMETER, AND IMAGE RESTORATION METHOD USING SAME

摘要

The objective of the present invention is to provide a machine learning algorithm and an image restoration method using the same, the algorithm and the method: making compression information and deterioration images into input data; being configured such that an optimal model corresponding to a variety of compression information is learned and derived by itself by using a machine learning algorithm aimed at restoration of an original image, thereby enabling image restorability and compression ratio to be remarkably improved by applying the optimal model corresponding to the compression information during image restoration; and, in configuring a loss function which is a function for obtaining a difference value between the restored image and the original image during learning, assigning different weights according to the compression information, thereby enabling image restoration for a specific region to be precisely performed.