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

Image noise reduction method and storage medium

An image noise reduction and image input technology, applied in the field of image processing, can solve problems such as failure to achieve expected results and affect image quality

Pending Publication Date: 2021-04-06
GPIXEL
View PDF0 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] Therefore, the present invention provides an image noise reduction method and storage medium to solve the problem that the existing image noise reduction method cannot achieve the expected effect and affect the image quality when processing mixed noise

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 noise reduction method and storage medium
  • Image noise reduction method and storage medium
  • Image noise reduction method and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0047] It should be pointed out that the following detailed description is exemplary and intended to provide further explanation to the present application. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.

[0048] It should be noted that the terminology used here is only for describing specific implementations, and is not intended to limit the exemplary implementations according to the present application. As used herein, unless the context clearly indicates otherwise, the singular form is also intended to include the plural form. In addition, it should also be understood that when the terms "comprising" and / or "comprising" are used in this specification, it indicates There are features, steps, operations, means, components and / or combinations thereof.

[0049] For the convenience of description, spatially relative terms may be used here...

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 an image noise reduction method and a storage medium, and the method comprises the following steps: S1, judging whether an input image contains noise pixel points or not, and further judging the type of each noise pixel point if the input image contains the noise pixel points; s2, sequentially processing the noise pixel points by adopting a corresponding noise reduction method according to the types of the noise pixel points; and S3, outputting the image after noise reduction processing. Since different types of noise pixel points in the input image are respectively processed by adopting corresponding noise reduction methods, detail information of the image can be reserved as much as possible, the blurring degree of the processed image is greatly reduced, the quality of the image after noise reduction is improved, and the method is relatively low in algorithm complexity and relatively high in applicability.

Description

technical field [0001] The invention relates to the field of image processing, in particular to an image noise reduction method and a storage medium. Background technique [0002] With the development of integrated circuit manufacturing technology and the continuous improvement of integrated circuit design level, CMOS image sensors manufactured based on CMOS integrated circuit technology have high integration, low power consumption, small size, simple process, low cost and short development cycle. And other characteristics, so that it is gradually in an advantageous position in the competition of CCD. CMOS image sensors are widely used in various photographic products and have broad market application prospects. However, after the image information in the image sensor is processed by an analog circuit, the image quality will be degraded due to the interference of the imaging device and external environmental noise. In particular, vertical stripes and various bright or dark...

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
CPCG06T5/70
Inventor 辛国松王欣洋刘洋李扬马成
Owner GPIXEL
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