Image blurring method and system

A blurring method and technology of a blurring system, applied in the field of image processing, can solve the problems of high cost and low efficiency, and achieve the effects of improving the effect, improving the processing efficiency, and improving the recovery effect.

Inactive Publication Date: 2012-07-04
方正国际软件(北京)有限公司 +1
View PDF2 Cites 10 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This method has higher image blur quality, but low efficiency and high cost

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 system
  • Image blurring method and system
  • Image blurring method and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0051] This embodiment is a specific implementation of the image blurring system of the present invention. Such as figure 1 As shown, the system includes an acquisition device 1 , a fuzzy device 2 , and a modification device 3 connected to the acquisition device 1 and the fuzzy device 2 . The acquisition device 1 includes a filtering unit 11 , a blurring unit 12 and a class expansion unit 13 . Such as figure 2 As shown, the class expansion unit 13 includes a scanning module 131 , a judgment module 132 and a replacement module 133 .

[0052] The acquiring device 1 is used to acquire a protected area in an original image, and the protected area refers to an area that does not need to be blurred. Wherein, the filtering unit 11 is used for band-pass filtering the original image to obtain a grayscale image with the same size as the original image, and the grayscale image is denoted as image D. The blurring unit 12 is used to perform blurring processing on the image D while mai...

Embodiment 2

[0056] This embodiment is another specific implementation manner of the image blurring system of the present invention. like image 3 As shown, the main difference from the system described in Embodiment 1 is that the acquisition device 1 is different. The acquisition device 1 in this embodiment includes a marking unit 21 and a decomposing unit 22 . The marking unit 21 is used to mark the area to be blurred and the protected area in the original image. The decomposing unit 22 is used for decomposing the original image into a region to be blurred and a protected region according to the marker.

Embodiment 3

[0058] This embodiment is a method for blurring an image using the system described in Embodiment 1. like Figure 4 As shown, the method includes the following steps:

[0059] (1) The acquiring device 1 acquires the protected area in the original image. The protected area refers to an area in the original image that does not need to be blurred.

[0060] For example, in a head image of a person, only the face of the person needs to be blurred, while parts such as hair and eyebrows do not need to be blurred. The area that needs to be blurred is called the area to be blurred, and the area that does not need to be blurred is called the protected area.

[0061] like Figure 5 As shown, the method for obtaining the protected area in the original image in this embodiment is as follows:

[0062] (a) The filtering unit 11 performs band-pass filtering on the original image to obtain a grayscale image D with the same size as the original image.

[0063] Specific band-pass filtering...

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 system, belonging to the technical field of image processing. The method comprises the following steps: firstly obtaining a protection area in an original image, wherein the protection area refers to the area which does not need to be subjected to blurring treatment; than blurring treatment with edge protected is carried out on the original image, and marking the image after blurring treatment as an image M; and finally modifying pixel values of pixel points at corresponding positions in the image M according to pixel values of pixel points in the protection area in the original image. With the adoption of the image blurring method and the image blurring system, the smooth area of the image is effectively blurred, and detailed texture on the image is well maintained.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to an image blurring method and system. Background technique [0002] At present, the image blur processing that keeps the edge is mainly the surface blur function in Photoshop. The widely used algorithm is mainly the Bilateral filter (BLF) algorithm, and the surface blur function in Photoshop is also based on this algorithm. The edge-preserving blur algorithm is to add edge information in the image during the blurring process, so that the points at the strong edge are less affected by the blur. These methods have a good effect on maintaining the strong edges in the image. [0003] For example, the BLF algorithm uses a two-dimensional Gaussian filter to filter the image, and Gaussian uses color distance and space distance as variables respectively. When the color difference of an adjacent point is greater than that of the current point, the Gaussian coefficie...

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): G06T5/00
Inventor 袁梦尤张轶君
Owner 方正国际软件(北京)有限公司
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