Image distortion processing method, device, computing device and computer storage medium

A technology of image distortion and processing method, which is applied in the field of image processing, can solve the problems of poor image distortion, unnaturalness, and rigidity, etc., and achieve the effect of optimizing the image distortion processing method and improving the image distortion effect

Inactive Publication Date: 2021-05-07
BEIJING QIHOO TECH CO LTD
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the existing images may not meet the needs of users who want to personalize the images, for example, want to process the content in the images to have a distorted effect of looking through steam
In the prior art, most images are processed by functions such as sine or cosine to obtain distorted images. However, the distorted images obtained after processing in this way are not good, very stiff and unnatural.

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 distortion processing method, device, computing device and computer storage medium
  • Image distortion processing method, device, computing device and computer storage medium
  • Image distortion processing method, device, computing device and computer storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0106] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided for more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0107] figure 1 shows a schematic flow chart of an image warping processing method according to an embodiment of the present invention, as figure 1 As shown, the method includes the following steps:

[0108] Step S100, acquiring an image to be processed and first noise data.

[0109] Specifically, the image to be processed may be an image taken by the user himself, an image in a website, or an image shared by other users, which i...

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 distortion processing method, device, computing equipment and computer storage medium, wherein the image distortion processing method includes: acquiring the image to be processed and first noise data; for each pixel in the image to be processed, according to The first noise data is used to determine the first distorted texture data; the color component value of the pixel is processed by using the first distorted texture data; the image distorted data corresponding to the image to be processed is obtained; and the distorted effect image is obtained according to the image distorted data; Save the distortion effect image according to the shooting instruction triggered by the user. The present invention adopts a deep learning method to achieve high-efficiency and high-accuracy scene segmentation processing, and according to the technical solution provided by the present invention, the color component values ​​of pixels in the image are processed by using noise data, and the distortion can be obtained conveniently. Effect image, optimized image distortion processing method, improved image distortion effect.

Description

technical field [0001] The invention relates to the field of image processing, in particular to an image distortion processing method, device, computing equipment and computer storage medium. Background technique [0002] With the development of science and technology, the technology of image acquisition equipment is also improving day by day. The collected images are clearer, the resolution, and the display effect are also greatly improved. However, the existing images may not meet the needs of users who want to personalize the images, for example, want to process the content in the images to have a distorted effect of looking through steam. In the prior art, images with distortion effects are obtained by processing images with functions such as sine or cosine. However, the distortion effects of images obtained after processing in this way are not good, very stiff and unnatural. Contents of the invention [0003] In view of the above problems, the present invention is p...

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
Patent Type & Authority Patents(China)
IPC IPC(8): G06T15/00G06T7/90G06T7/40G06T1/60
Inventor 眭一帆
Owner BEIJING QIHOO TECH CO LTD
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