Automatic image editing method

An automatic image editing and image technology, which is applied in the field of image processing, can solve the problems such as the poor effect of cutout processing technology, and achieve the effect of improving the processing effect and improving the editing time

Pending Publication Date: 2019-10-11
GUANGDONG UNIV OF TECH +1
View PDF3 Cites 14 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The present invention provides an automatic image editing method to solve the technical problem of poor effect of the existing matting processing technology, thereby completing precise m

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Automatic image editing method
  • Automatic image editing method
  • Automatic image editing method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0061] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0062] Please refer to Figure 1-Figure 3 , a preferred embodiment of the present invention provides a method for automatic image editing, comprising:

[0063] S1, based on the encoder-decoder structure, construct the first fully convolutional neural network model, which is used to mark the tripartite map of the foreground, background and uncertain regions corresponding to the photo;

[0064] S2. Obtain a first original picture set and perform image processing and...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses an automatic image editing method. The method comprises the following steps: constructing a first full convolutional neural network model for labeling a tripartite graph of a foreground, a background and an uncertain region corresponding to the photo based on an encoder-decoder; obtaining a first original picture to perform image processing transformation, and generating acorresponding template picture as first training data; enabling the first full convolutional neural network model to firstly perform random rotation, scaling and gamma transformation processing on theoriginal image according to the first training data, combining the original image and the alignment template image into an image in a channel direction, and outputting a real tripartite graph; constructing a second full convolutional neural network model for realizing image matting based on an encoder-decoder; obtaining a second original picture for image processing and synthesis, and generatingan RGB picture as second training data; and enabling the second full convolutional neural network model to perform random rotation, scaling and gamma transformation processing on the RGB image, combining the original image and the real tripartite graph in the channel direction to form an image, and outputting a matted image.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to an automatic image editing method. Background technique [0002] With the wide coverage of technological applications in modern life, various wearable devices and smart identification device applications can be seen everywhere in our lives. Image information such as photos and videos is playing an increasingly important role in people's lives. People are beginning to get used to recording their lives with cameras, and Weibo and Moments are full of photos taken by everyone. The emergence of massive image information also means that there is a higher demand for image information processing. Thousands of videos and images are transmitted on the Internet every day. Technical terms such as video tracking, image detection, and image analysis are no longer limited to advanced scientific fields, but have also penetrated into people's daily life with the maturity and promotion o...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06T7/136G06T7/194
CPCG06T7/136G06T7/194G06T2207/10024G06T2207/20081G06T2207/20084
Inventor 杨煜俊许征波单森森武峰周文波
Owner GUANGDONG UNIV OF TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap