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

Image processing method and mobile terminal

An image processing and mobile terminal technology, applied in the field of communication, can solve problems such as background distortion, difficulty in brightness, inability to adjust brightness or contrast, etc., and achieve the effect of brightness adjustment and improvement

Active Publication Date: 2021-05-04
VIVO MOBILE COMM CO LTD
View PDF10 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] At present, the effect of mobile phone selfies is basically to control the brightness and contrast of the entire picture through gamma correction, or to brighten the whole through ae exposure compensation. The existing technology cannot adjust the brightness or contrast of local areas such as the face or skin tone. adjustments, while overall adjustments can distort the background and make it difficult to increase brightness while maintaining the depth and contrast of skin tones

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 and mobile terminal
  • Image processing method and mobile terminal
  • Image processing method and mobile terminal

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0020] refer to figure 1 , shows a flow chart of steps of an image processing method according to Embodiment 1 of the present invention.

[0021] The image processing method of the embodiment of the present invention comprises the following steps:

[0022] Step 101: Identify the face area of ​​the target image, and calculate the brightness difference value of the face area. The brightness difference value is the difference between the brightness of the first part of the face area and the brightness of the second part. The brightest part, and the second part is the darkest part of the face area.

[0023] The target image can be the image stored on the mobile terminal, or the original image captured by the camera of the mobile terminal (such as the front camera), or the brightness or contrast of the original image can be basically adjusted by the ISP (Image signal processor) image obtained afterwards.

[0024] For example, a skin color segmentation algorithm and an outline al...

Embodiment 2

[0030] refer to figure 2 , shows a flow chart of steps of an image processing method according to Embodiment 2 of the present invention.

[0031] The image processing method in the embodiment of the present invention specifically includes the following steps:

[0032] Step 201: Determine an area in the target image whose chroma satisfies a second preset threshold and whose brightness satisfies a third preset threshold, as the target area.

[0033] Taking the application in selfie beautification as an example, in this step, a skin color segmentation algorithm may be used to determine the target area such as the skin color area. Among them, the main difference of the skin color lies in gray scale information (brightness information) and chroma information. By sampling skin color in a suitable color space, a chromaticity distribution function representing skin color can be established to determine the second preset threshold for distinguishing skin color from non-skin color; a...

Embodiment 3

[0057] refer to image 3 , shows a structural block diagram of a mobile terminal according to Embodiment 3 of the present invention.

[0058] The mobile terminal in the embodiment of the present invention may include: an identification calculation module 301, configured to identify the face area of ​​the target image, and calculate the brightness difference value of the face area, where the brightness difference value is the brightness of the first part of the face area and the brightness of the second part The difference between the brightness, the first part is the brightest part in the face area, and the second part is the darkest part in the face area; the first adjustment module 302 is configured to if the brightness difference is not in the first preset threshold Within the range, adjust the brightness and contrast of the face area according to the brightness difference and the first preset threshold range.

[0059] Wherein the target image can be the image stored on th...

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

An embodiment of the present invention provides an image processing method and a mobile terminal. The method is applied to a mobile terminal and includes: identifying a face area of ​​a target image, and calculating a brightness difference value of the face area, where the brightness difference value is The difference between the brightness of the first part of the human face area and the brightness of the second part, the first part is the brightest part in the human face area, and the second part is the brightest part in the human face area dark part; if the brightness difference is not within the first preset threshold range, adjust the brightness and contrast of the face area according to the brightness difference and the first preset threshold range. The technical solution of the present application can independently adjust the brightness and contrast of the face area without affecting the light-dark relationship of other areas in the target image at all, so that the contrast can be improved while adjusting the brightness of the face area.

Description

technical field [0001] Embodiments of the present invention relate to the field of communication technologies, and in particular, to an image processing method and a mobile terminal. Background technique [0002] With the rise of the selfie industry, in order to get a better selfie effect, the ISP (Image signal processor) needs to make relatively large adjustments to the color and brightness. For example, the ideal selfie skin color requires white and bright skin, strong contrast, and a certain three-dimensionality. . [0003] At present, the effect of mobile phone selfies is basically to control the brightness and contrast of the entire picture through gamma correction, or to brighten the whole through ae exposure compensation. The existing technology cannot adjust the brightness or contrast of local areas such as the face or skin tone. adjustments, while overall adjustments can distort the background and make it difficult to increase the brightness while maintaining the d...

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): G06T5/00
Inventor 胡静婕
Owner VIVO MOBILE COMM CO LTD