Image Enhancement Method Using Neural Network Model Based on Edge Component Classification

摘要

The present invention relates to a method for generating a high resolution image by enlarging a low resolution image. The method comprises classifying and generating an input image into a low frequency image, an intermediate frequency image, and a high frequency image for each frequency component, and each component of the intermediate frequency image. For effective learning according to the present invention, the method comprises: classifying a boundary image by components, constructing a neural network model according to the classified boundary image, estimating a high frequency image through the neural network model, and the estimated high frequency. A method of improving image quality using a neural network model based on boundary component classification, comprising the step of realizing a high resolution image through the sum of an image and the low frequency image.;Neural network, image quality improvement, boundary line