Image denoising method

A technology of denoising and image histogram, applied in the field of image processing, can solve problems such as image noise and affect image quality, achieve good effect, reduce the influence of image edge blur, and ensure the effect of quality and effect
CN112734674APending Publication Date: 2021-04-30HOHAI UNIV
0 Cites 7 Cited by

Patent Information

Authority / Receiving Office
CN Β· China
Patent Type
Applications(China)
Current Assignee / Owner
HOHAI UNIV
Publication Date
2021-04-30

Smart Images

  • Figure 1
    Figure 1
  • Figure 2
    Figure 2
Patent Text Reader

Abstract

The invention relates to an image denoising method. The method comprises the following steps: 1, acquiring a digital image; 2, analyzing the noise type in the digital image, namely establishing an image histogram of the digital image, respectively adding different types of noise into a noiseless image histogram to form an image histogram model respectively containing Gaussian noise, Poisson noise, speckle noise and salt and pepper noise, and calculating the noise type of the digital image; analyzing a noise type existing in the digital image by using a grey correlation analysis method; 3, after the noise type in the image is analyzed, respectively processing the noise of different types by adopting a corresponding denoising method.
Need to check novelty before this filing date? Find Prior Art

Description

technical field

[0001] The present invention relates to the technical field of image processing, in particular to an image denoising method. Background technique

[0002] With the popularization and application of information technology and the development of high-speed wireless communication technologies such as 4G and 5G, smart phones have become an indispensable item in life, and digital image information is always active in our lives; Processing technology is constantly evolving and improving. Digital image processing technology mainly uses computers or other hardware to efficiently process a large amount of digital image information. The full use and digital processing of image information can meet the application requirements of different fields. At present, the main research directions of digital image processing technology generally include: image digitization and compression coding, image enhancement and restoration, image segmentation and restoration, image analy...

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