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

GPU-based CUDA image processing method and device, and storage medium

An image processing device and image processing technology, applied to the details of image processing hardware, processor architecture/configuration, etc., can solve the problems of long time-consuming, image processing efficiency needs to be further improved, etc., to achieve improved performance and good hiding effect , The effect of improving the processing speed

Pending Publication Date: 2021-04-02
南方电网数字电网集团(海南)有限公司
View PDF2 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In the traditional computer image conversion technology, the required parameters are usually obtained by reading the global memory or constant memory, so that the computer image conversion takes a long time, and the image processing efficiency needs to be further improved

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
  • GPU-based CUDA image processing method and device, and storage medium
  • GPU-based CUDA image processing method and device, and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0051] The principles and features of the present invention will be described below in conjunction with the accompanying drawings, and the enumerated embodiments are only used to explain the present invention, and are not intended to limit the scope of the present invention.

[0052] refer to figure 1 , the embodiment of the present invention provides a kind of image processing method based on CUDA of GPU, described method comprises the following steps:

[0053] S1. Initialize CUDA (Compute Unified Device Architecture).

[0054] S2. Pick up texture parameters by using a texture pick-up function, and add the texture to the image to be processed.

[0055] In step S2, the texture is used to add details of the image, which can make it display better and finer without specifying additional vertices. In order to map the texture to the image to be processed, it is necessary to specify the correspondence between the vertices of the image and the texture. Texture coordinates are on ...

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 provides a GPU-based CUDA image processing method and device, and a storage medium. The method comprises the following steps: S1, initializing a CUDA; S2, performing texture parameter pickup through a texture pickup function, and adding texture to the to-be-processed image; S3, transmitting the image data obtained in the step S2 to a GPU, wherein the GPU completes a parallelization core program of image processing through CUDA based on the received data; and S4, writing the image data obtained in the step S3 into an image file. Compared with an existing computer image conversionprocessing technology, the conversion rate is higher, the processing efficiency is higher, and the converted image is finer.

Description

technical field [0001] The present invention relates to the technical field of image data processing, in particular to a GPU-based CUDA image processing method, device and storage medium. Background technique [0002] With the continuous advancement of the construction of the digital grid, the massive power grid data provides a lot of opportunities and challenges for the big data mining work of the power grid. The presentation of data is conducive to efficient large-scale data analysis to improve the level of power grid management business. In the traditional computer image conversion technology, the required parameters are usually obtained by reading the global memory or constant memory, so that the computer image conversion takes a long time, and the image processing efficiency needs to be further improved. Contents of the invention [0003] In view of this, the purpose of the present invention is to provide a GPU-based CUDA image processing method, device and storage m...

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): G06T1/20
CPCG06T1/20G06T2200/28
Inventor 王联智谢敏吴海杰周吉星符艺超
Owner 南方电网数字电网集团(海南)有限公司
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