Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Method and device for optimizing and editing image

An image and editing technology, which is applied in the field of image processing, can solve problems such as color cast and destructive image tone, and achieve the effects of bright colors, improved exposure quality, and optimized display quality

Active Publication Date: 2010-06-16
SHENZHEN TENCENT COMP SYST CO LTD
View PDF0 Cites 18 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] As existing techniques incorporate color adjustments when optimizing an image, it is possible to introduce new color casts that can be disruptive to the tone of some images

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
  • Method and device for optimizing and editing image
  • Method and device for optimizing and editing image
  • Method and device for optimizing and editing image

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0051] see figure 1 , this embodiment provides a method for optimizing and editing an image, and the process of the method is specifically as follows:

[0052] 101: Perform curve adjustment on the image to be optimized to obtain a curve-corrected image;

[0053] 102: Perform HSV conversion on each point corresponding to the obtained curve-corrected image to obtain converted values ​​of color H, purity S, and lightness V;

[0054] 103: After weighting the obtained S value, RGB conversion is performed on H, V and the weighted S value to obtain a saturation-corrected image.

[0055] Among them, HSV represents the color model, H represents the color, S represents the purity, and V represents the lightness.

[0056] Furthermore, after performing curve adjustment and saturation correction on the image to be optimized, the method provided in this embodiment also combines contrast correction, so as to further improve the display quality of the image. This embodiment does not specif...

Embodiment 2

[0072] This embodiment provides an image optimization editing method, the method combines curve adjustment, saturation correction and contrast correction, while improving the color of the image to be optimized, it also improves the exposure quality of the image, making the color of the image more vivid, and Does not disrupt the tone of the image. Among them, there are many ways to combine curve adjustment, saturation correction, and contrast correction. Using the method as an example, the image optimization editing method provided in this embodiment will be described in detail. see figure 2 , the method flow is as follows:

[0073] 201: Perform contrast correction on the image to be optimized to obtain a contrast-corrected image;

[0074] For this step, taking the correction of a 24-bit bitmap as an example, the 24-bit image is a dot matrix with RGB channels. Each point on the image has three values ​​of R, G, and B, which respectively represent the values ​​of the red co...

Embodiment 3

[0189] see image 3 , the present embodiment provides a device for image optimization editing, the device includes:

[0190] A curve adjustment module 301, configured to perform curve adjustment on the image to be optimized to obtain a curve-corrected image;

[0191] The first conversion module 302 is configured to perform HSV conversion on each point corresponding to the curve correction image to obtain converted values ​​of color H, purity S and lightness V;

[0192] The second conversion module 303 is configured to perform RGB conversion on H, V and the weighted S value after weighting the obtained S value to obtain a saturation-corrected image.

[0193] see Figure 4 , the device also includes:

[0194] The first contrast correction module 304 is configured to perform contrast correction on the image to be optimized to obtain a contrast correction image before the curve adjustment module performs curve adjustment on the image to be optimized;

[0195]Correspondingly, t...

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 a method and a device for optimizing and editing an image, which belong to the technical field of image processing. The method comprises the following steps of: adjusting curves of an image to be optimized to obtain an image with modified curves, performing HSV conversion on each point corresponding to the image with modified curves to obtain a converted color value H, a converted purity value S and a converted brightness value V, weighing the obtained value of the S and then performing an RGB conversion to the color value H, the brightness value V and the weighed purity value S to acquire a saturation modified image. The device comprises a curve adjusting module, a first transformation module and a second transformation module. The method and the device for optimizing and editing the image make the color of the image brighter by adjusting the curves and modifying the saturation of the image to be optimized, do not break the tone of the image and have the effects of optimizing the display quality of the image.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to an image optimization editing method and device. Background technique [0002] With the increasing maturity of image processing technology, there are more and more ways to optimize and edit images. By optimizing and editing the image, not only the display quality of the original image can be improved, but also the overall visual effect of the image can be improved. [0003] In an existing technology for optimizing and editing an image, a method of analyzing the color of the image is adopted to correct the color shift problem existing in the original image. [0004] In the process of realizing the present invention, the inventor finds that the prior art has at least the following disadvantages: [0005] Because the prior art incorporates color adjustments when optimizing an image, it is possible to introduce new color casts that can be disruptive to the tone of some ima...

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
IPC IPC(8): H04N9/68
CPCH04N9/68
Inventor 傅斌王建宇李慧
Owner SHENZHEN TENCENT COMP SYST CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com