Image blurring method and device, electronic device and readable storage medium

An image and target image technology, applied in the field of image processing, can solve the problems of high hardware equipment requirements, unsatisfactory blur effect, difficulty in guaranteeing model prediction speed and accuracy, etc., to achieve the effect of reducing requirements and improving blur effect

Active Publication Date: 2019-06-14
BEIJING DAJIA INTERNET INFORMATION TECH CO LTD
View PDF16 Cites 15 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, these methods all need to manually design feature extractors, and the speed and accuracy of model prediction are difficult to guarantee.
It can be seen that the image blurring method in the related art has technical problems such as high requirements on hardware equipment and unsatisfactory blurring effect.

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 blurring method and device, electronic device and readable storage medium
  • Image blurring method and device, electronic device and readable storage medium
  • Image blurring method and device, electronic device and readable storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0084] Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the following exemplary embodiments do not represent all implementations consistent with this application. Rather, they are merely examples of apparatuses and methods consistent with aspects of the present application as recited in the appended claims.

[0085] figure 1 is a flow chart of an image blurring method according to an exemplary embodiment, as shown in figure 1 As shown, the image blurring method is configured in a terminal, including the following steps.

[0086] In step S11, a target image is acquired.

[0087] It should be noted that the target image in this embodiment of the present application may include any image that...

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 relates to an image blurring method and device, an electronic device and a readable storage medium, and the method comprises the steps: obtaining a target image; generating a depth imageof the target image based on a preset depth prediction model; wherein the depth prediction model is a convolutional neural network model obtained through training of training images of known depth maps under N scene types, and N is a natural number; and performing blurring processing on each pixel point in the target image according to the depth image to obtain a blurred image of the target image. The image blurring method solves the technical problems that an image blurring method in the prior art is high in requirement for hardware equipment, not ideal in blurring effect and the like. The technical effects of reducing the hardware equipment requirement of image blurring and improving the blurring effect are achieved.

Description

technical field [0001] The present application relates to the technical field of image processing, and in particular to an image blurring method, device, electronic equipment and readable storage medium. Background technique [0002] When using a SLR camera to take pictures, the camera will realize the blur effect of objects with different depths of field according to the distance of the focus point. However, due to the limitations of hardware devices, electronic devices such as smart phones only have a depth of field in the photos taken, and the blur effect cannot be achieved, resulting in unrealistic images. [0003] In related technologies, the commonly used method is to predict the depth based on binocular vision and to blur the background based on segmentation. However, predicting the depth of each pixel in an image through binocular vision requires high hardware equipment, and the amount of calculation is complex and difficult to implement. Real-time application; whil...

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 Applications(China)
IPC IPC(8): H04N5/232H04N5/262G06T3/00G06N3/04G06N3/08
Inventor 安世杰张渊郑文
Owner BEIJING DAJIA INTERNET INFORMATION 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