Unlock instant, AI-driven research and patent intelligence for your innovation.

Image processing method, device, equipment and storage medium

A kind of image processing and image technology, applied in the field of image processing, can solve the problems such as unable to whiten pixels, and achieve the effect of avoiding image distortion

Active Publication Date: 2022-02-18
BEIJING KUANGSHI TECH CO LTD
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The image processing method, device, equipment, and storage medium provided by the embodiments of the present invention can solve the problem in the prior art that only pixels within the statistical range can be whitened, but pixels at the critical point of the skin hue range cannot be whitened. Technical issues with whitening

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 processing method, device, equipment and storage medium
  • Image processing method, device, equipment and storage medium
  • Image processing method, device, equipment and storage medium

Examples

Experimental program
Comparison scheme
Effect test

no. 1 example

[0030] Since the prior art can only obtain the absolute skin area, it can only whiten the pixels within the absolute skin area, and cannot whiten the pixels at the critical point of the skin area, making the whitening effect poor. For the whitening effect of the image, this embodiment firstly provides an image processing method. It should be noted that the steps shown in the flow chart of the accompanying drawing can be executed in a computer system such as a set of computer-executable instructions, and, Although a logical order is shown in the flowcharts, in some cases the steps shown or described may be performed in an order different from that shown or described herein. This embodiment will be described in detail below.

[0031] see figure 1 , is a flowchart of an image processing method provided by an embodiment of the present invention. The following will be figure 1 The specific process shown will be described in detail.

[0032] Step S101, extracting facial feature ...

no. 2 example

[0076] Corresponding to the image processing method in the first embodiment, image 3 An image processing device corresponding to one by one using the image processing method shown in the first embodiment is shown. Such as image 3 As shown, the image processing device 400 includes a feature extraction unit 410 , a first processing unit 420 and a second processing unit 430 . Wherein, the implementation functions of the feature extraction unit 410, the first processing unit 420 and the second processing unit 430 correspond to the corresponding steps in the first embodiment one by one, and to avoid redundant description, this embodiment does not describe them in detail one by one.

[0077] The feature extraction unit 410 is configured to extract facial feature points of the image to be processed.

[0078] The first processing unit 420 is configured to determine a skin threshold of a pixel of the image to be processed according to the facial feature points.

[0079] Optionally...

no. 3 example

[0089] Such as Figure 4 Shown is a schematic diagram of an image processing device 500 . The image processing device 500 includes: a CPU 510 and a graphics processor 520 ; the CPU 510 communicates with the graphics processor 520 .

[0090] The central processor 510 is configured to extract facial feature points of the image to be processed; and the central processor 510 is further configured to determine a skin threshold of a pixel of the image to be processed according to the facial feature points.

[0091] Optionally, the central processing unit 510 is also configured to determine the feature points of the cheek part, the feature points of the double eyebrows, the feature points of the eyes and the feature points of the mouth contour from the feature points of the human face; acquire the image to be processed Belonging to the region corresponding to the feature point of the cheek part and belonging to all the pixel points outside the region corresponding to the feature poi...

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 image processing method, device, equipment and storage medium provided by the present invention belong to the technical field of image processing. The image processing method includes: extracting face feature points of the image to be processed; determining the skin threshold value of the pixel of the image to be processed according to the face feature point; determining the pixel point of the image to be processed based on the skin threshold value Probability within the area of ​​the skin. Therefore, the probability that the pixel of the image to be processed belongs to skin is calculated through the skin threshold value of the pixel of the skin, so that the pixel of the image to be processed can be whitened through this probability, instead of whitening the entire image or only Whitening the face area can effectively avoid the image distortion caused by whitening the pixels of the whole image and only whiten the face area without processing the non-face area, which can make the whitened image more natural.

Description

technical field [0001] The present invention relates to the field of image processing, in particular, to an image processing method, device, equipment and storage medium. Background technique [0002] The traditional skin judgment method based on the YUV hue distribution of pixels generally uses statistical methods to count the YUV hue distribution (ie UV) range of the skin, and then judges whether the YUV hue of the pixels is within the statistical range, but only within the statistical range Pixels make it impossible to whiten pixels at the critical point of the skin hue range during whitening processing, which brings great inconvenience to users. Contents of the invention [0003] The image processing method, device, equipment, and storage medium provided by the embodiments of the present invention can solve the problem in the prior art that only pixels within the statistical range can be whitened, but pixels at the critical point of the skin hue range cannot be whitene...

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): G06K9/00G06T5/00G06T7/11G06T7/136
CPCG06T5/005G06T7/11G06T7/136G06T2207/30201G06V40/162
Inventor 刘思遥
Owner BEIJING KUANGSHI TECH CO LTD