Sketch coloring method and system based on deep convolution generative adversarial network

Abstract

The invention provides a sketch coloring method and system based on a deep convolution generative adversarial network, and the method comprises: S100, extracting features of a sketch through a gray-scale map generator GGN, and carrying out deconvolution of the features of the sketch to generate a gray-scale map corresponding to the sketch; and S110, performing feature extraction on the grey-scalemap and the graffiti information of the sketch by the user by using a color map generator CGN, and performing deconvolution on the extracted grey-scale map and the graffiti information to generate a corresponding color map, wherein both the GGN and the CGN belong to a deep convolutional generative adversarial network. In the CGN network in the coloring stage, the advanced features of the sketch are extracted by skillfully utilizing the training model and are input into the CGN, so that the CGN network not only obtains the features of the grey-scale map, but also obtains the features of the sketch, and the coloring result is more accurate.

Description

technical field [0001] The invention belongs to the technical field of image processing, and more specifically relates to a sketch coloring method and system based on a deep convolutional generative confrontation network. Background technique [0002] With the advent of deep learning, the demand for automatic image processing is gradually increasing, among which sketch coloring is an important field in image processing. The sketch automatic coloring technology can quickly complete the coloring work of a large number of pictures, and can color some early comic books and movies, so it has great application value. [0003] In the past, the traditional method used some artificially customized rules to color the sketch. Most of the results obtained showed color overflow and incomplete coloring. The most important thing is that this method is difficult to color according to the user's wishes Color accordingly. [0004] With the advent of the era of big data, image processing usi...

AI Technical Summary

Problems solved by technology

[0005] Aiming at the defects of the prior art, the purpose of the present invention is to provide a sketch coloring method and system based on a deep convolutional generative confrontation network, aiming to solve the existing sketch coloring that consumes huge computing resources and time, and cannot be accurately colored technical issues

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