Image noise reduction method and system

一种图像降噪、图像的技术,应用在图像处理领域,能够解决伪吉布斯、计算复杂度高、收缩阈值失真等问题,达到快速而高效降噪处理的效果

Inactive Publication Date: 2012-11-14
ZTE CORP
View PDF5 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The transform domain statistical modeling analysis method performs statistical modeling on the transform domain coefficients, which can achieve a better noise reduction effect, but requires more prior information to establish a suitable model for training, and the computational complexity is very high
Among the transform domain filtering methods, the shrinkage threshold denoising method based on wavelet transform is the most representative, but the shrinkage threshold in the transform domain is prone to distortion, which is called pseudo-Gibbs phenomenon

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

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0035] This embodiment aims at the contradiction between the limited processing capability of the client and the large amount of computing resources required for high-quality image noise reduction processing. With the help of the powerful processing capability and nearly unlimited storage resources provided by cloud computing, the multi-scale geometric transformation image layering strategy is used to transform the image Decompose into multiple noisy image sub-layers that can be processed in parallel for noise reduction. The client is responsible for decomposing the image into multiple image sub-layers, and the specific noise reduction process of each image sub-layer is handed over to the cloud, so that the client can use cloud computing to quickly and efficiently complete the noise reduction of noisy images deal with.

[0036] figure 1 Shown is the image noise reduction method of this embodiment, including:

[0037] Step 101: the client (personal computer, mobile computer, ...

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 relates to an image noise reduction method and a system. The method comprises the steps of: converting an image to be processed into at least one image sub-layer by a client side, and transmitting the image sub-layers to a cloud computing system; performing noise reduction on the image sub-layers after the image sub-layers are received by the cloud computing system, and returning the image sub-layers subjected to noise reduction to the client side by the cloud computing system; reconstructing the image sub-layers subjected to noise reduction into an image after the image sub-layers subjected to noise reduction are received by the client side by the client side, thereby obtaining the image subjected to noise reduction. Since the image is layered, the complex image is decomposed into multiple image sub-layers for noise reduction and noise of each image sub-layer is reduced simultaneously via cloud computing, high-complexity computation can be performed to obtain high-quality images with noise reduced in the case of limited client side resources, and current demands for rapid and efficient image noise reduction can be satisfied in the case of increase of the image resolution and the number of images.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to an image noise reduction method and system. Background technique [0002] In recent years, cloud computing has become one of the most concerned technologies in the field of IT (information technology), and it is also an important field that large enterprises and Internet IT construction are currently considering and investing in. The introduction of cloud computing has triggered new technological changes and new IT service models. Cloud computing is a comprehensive system that integrates software, application platforms and infrastructure through standardized IT technology and products, using the most cutting-edge technology and services. Users can quickly and conveniently request related services on demand through Internet technology. The main forms of cloud services can be summarized into three service models: SaaS (software as a service), PaaS (platform as a s...

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): G06T5/00H04L29/08
CPCG06T5/002H04L29/08G06T5/70
Inventor 谭冠军徐金龙李普光王嘉伟
Owner ZTE CORP
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products