Image nonlinear zooming method based on visual saliency detection

A non-linear, image-based technology, applied in cross-fields, can solve problems such as visual subject deformation and achieve good visual effects

Active Publication Date: 2019-07-05
NANJING UNIV OF POSTS & TELECOMM
View PDF1 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, since this method only uses the gradient map of the image to define the energy function, it may cause deformation of the visual subject in the image when scaling

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
  • Image nonlinear zooming method based on visual saliency detection
  • Image nonlinear zooming method based on visual saliency detection

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0032] Below in conjunction with the accompanying drawings and specific embodiments, the present invention will be further clarified. It should be understood that these examples are only used to illustrate the present invention and are not used to limit the scope of the present invention. Modifications in the form of valence all fall within the scope defined by the appended claims of the present application.

[0033] In a specific implementation, a non-linear image scaling method based on visual saliency detection, the method first reads an image with a size of n*m, and inputs the size of the image to be scaled p*q; The network generates the saliency map g(I), and calculates the energy function e(I) of the image to obtain the total energy function E(I); then uses the dynamic programming method to calculate the cumulative minimum energy map, and finds an optimal clipping line ; Finally, the best crop line obtained is continuously deleted from the image until the image size is e...

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 image nonlinear zooming method based on visual saliency detection, and the method comprises the steps of firstly reading an image with the size of n * m, and inputting the size p * q of an image to be zoomed; generating a saliency map g (I) through an FCN full convolutional neural network, and calculating an energy function e (I) of the image to obtain a total energy function E (I); calculating an accumulated minimum energy diagram by utilizing a dynamic programming method, and finding out an optimal cutting line; and finally, continuously deleting the obtained optimal cutting line from the image until the size of the image is equal to that of the to-be-zoomed image to obtain a new zoomed image. According to the present invention, the important content of the image can be effectively kept, and a good zooming effect is achieved.

Description

technical field [0001] The invention relates to an image non-linear scaling method based on visual saliency detection, belonging to the cross technical fields of image content analysis, saliency detection and the like. Background technique [0002] Image content analysis is an important research topic in the field of computer vision, which has important theoretical significance and practical application value, and saliency detection is an indispensable part of it. [0003] How to display a fixed-size image on devices with different aspect ratios without causing distortion or distortion of the image is a problem that must be solved. This requires scaling of the image to be displayed to meet the aspect ratio of the display device. [0004] At present, image scaling algorithms are mainly divided into two categories: geometric transformation scaling algorithms and image content-preserving scaling algorithms. The former mainly includes the mean method, the nearest neighbor meth...

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): G06T3/40G06K9/46G06K9/62G06N3/04G06N3/08
CPCG06T3/4046G06N3/08G06T2207/10004G06V10/462G06N3/045G06F18/2414
Inventor 张佩迎陈志岳文静周传陈璐李争彦
Owner NANJING UNIV OF POSTS & TELECOMM
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