Image impulse noise suppression method based on two-stage interpolation

An impulse noise and image technology, applied in the field of digital image impulse noise suppression, can solve the problems of decreased precision and accuracy, unable to restore clear image signals, etc., and achieve the effect of improving precision, high-precision restoration effect, and improving accuracy.

Inactive Publication Date: 2010-11-17
XIDIAN UNIV
View PDF1 Cites 12 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

With the gradual increase of the noise density, the precision and accuracy of median filtering and adaptive median filtering to restore the signal drop sharply, and it is impossible to restore a clear image signal that meets the requirements of human vision and computer processing.

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 impulse noise suppression method based on two-stage interpolation
  • Image impulse noise suppression method based on two-stage interpolation
  • Image impulse noise suppression method based on two-stage interpolation

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0025] refer to figure 1 and figure 2 , for a noisy image N_im of size M×N, denoising is performed as follows:

[0026] Step 1, use histogram analysis to perform noise detection on the impulsive noise image N_im to be processed.

[0027] (1.1) Find the image histogram of N_im;

[0028] (1.2) Take the inflection points at both ends of the dynamic interval of the image gray value of the histogram envelope function as the threshold T max and T min ;

[0029] (1.3) For each pixel N_im(p, q) in the image to be processed, if the gray value of N_im(p, q) is in the interval [T min ,T max ], N_im(p, q) is considered to be a pixel not polluted by noise, otherwise, if N_im(p, q)>T max or N_im(p,q)min Then N_im(p, q) is considered to be a pixel polluted by impulse noise, where (p, q) is the pixel coordinate of the full-resolution image, p=1, 2...M, q=1, 2...N.

[0030] Step 2. Set the gray value of the noise-contaminated pixel in the image to be processed to zero to obtain the re...

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 impulse noise suppression method based on two-stage interpolation, which mainly solves the problem that the prior art can not retain image detail information in the de-noising process and also can not recover distinct images under the large noise density. The noise suppression method comprises the following steps of: carrying out noise detection and analysis on a noising image by utilizing a histogram and acquiring a low-resolution image through downsampling; carrying out first-stage interpolation by utilizing statistical properties of pixels without noise interference, completing amplitude information of pixels with impulse noise interference in the low-resolution image after the downsampling, and carrying out pre-filtering on the low-resolution image by adopting lifting wavelets on the self-adaption direction; and carrying out two-stage interpolation on the pre-filtered low-resolution image by adopting an improved segmental autoregressive model and utilizing the image structure characteristics to obtain a full-resolution image without the impulse noise. The invention has the objective evaluation and the subjective visual effect under different noise densities superior to the prior art, can be used for suppressing high-density impulse noise and improve the image quality.

Description

technical field [0001] The invention belongs to the technical field of digital image processing, and in particular relates to a digital image pulse noise suppression method, which is applied to restore clear images from signals submerged by high-density pulse noise. Background technique [0002] Impulse noise consists of non-continuous, irregular pulses or noise spikes of short duration and large amplitude. Impulse noise can be generated for a variety of reasons, including electromagnetic interference, faulty imperfections in communication systems, and state changes in electrical switches and relays. In digital data communication and signal processing, the existence of impulse noise will cause serious errors in subsequent transmission and processing. Taking remote sensing images as an example, in satellite remote sensing imaging systems, the harsh electromagnetic environment and transmission channel interference often make the acquired aerial image signals submerged in a la...

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
Inventor 王晓甜石光明牛毅杨子龙李祥平
Owner XIDIAN UNIV
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

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap