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Image impulse noise removing method for preventing edge blurring

A salt-and-pepper noise and edge blur technology, applied in the field of image processing, can solve the problems of edge blur, the image does not have universal adaptability, and the information of the edge part cannot be preserved, and achieves the effect of improving computing efficiency and preventing edge blurring.

Active Publication Date: 2017-06-30
SUZHOU UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The difficulty of this method is the generation of fuzzy rules, because there is no theory to prove whether the rules adopted are scientific and reasonable. The threshold value of many fuzzy rules is based on a large number of experiments and then depends on the results to obtain the threshold value, and the threshold value is not universal for different images. Adaptability; at the same time, this method does not pay more attention to the edge pixels of the image, and the edge information cannot be maintained after the noise is removed, and the edge becomes blurred

Method used

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  • Image impulse noise removing method for preventing edge blurring
  • Image impulse noise removing method for preventing edge blurring
  • Image impulse noise removing method for preventing edge blurring

Examples

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Embodiment 1

[0049] Embodiment one: see figure 1 As shown, a method for removing salt and pepper noise in an image with blurred edges includes the following steps:

[0050] (1) Input a digital image containing salt and pepper noise, the gray value of the pixel point (i, j) in the image is g(i, j), and the output gray value after denoising is f(i, j) , where (i, j) is the coordinates of the pixel in the entire image;

[0051] (2) If g(i,j) is 0 or 255, proceed to step (3), otherwise, the pixel is regarded as not polluted by salt and pepper noise, and is directly output without any processing, and the corresponding output image pixel f( The value of i, j) is: f(i, j) = g(i, j), turn to step (8);

[0052] (3) Take (i,j) as the center point, take a 3×3 filter window, and cut off all pixels with a gray value of 0 or 255 in the filter window. If the number of remaining pixels is less than 6, turn to step (4), otherwise sort the remaining pixels from small to large, and get the sequence {g 1 ...

Embodiment 2

[0094] Embodiment two: see Figure 7 As shown, a method for removing salt and pepper noise in an image with blurred edges includes the following steps:

[0095] (1) Input a digital image containing salt and pepper noise, the gray value of the pixel point (i, j) in the image is g(i, j), and the output gray value after denoising is f(i, j) , where (i, j) is the coordinates of the pixel in the entire image;

[0096] (2) If g(i,j) is 0 or 255, proceed to step (3), otherwise, the pixel is regarded as not polluted by salt and pepper noise, and is directly output without any processing, and the corresponding output image pixel f( The value of i, j) is: f(i, j) = g(i, j), turn to step (8);

[0097] (3) Take (i, j) as the center point, take a 3×3 filter window, and cut off all pixels with a gray value of 0 or 255 in the filter window. If the number of remaining pixels is less than 6, go to step (4), otherwise sort the remaining pixels from small to large, and get the sequence {g 1 ...

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Abstract

The invention discloses an image impulse noise removing method for preventing edge blurring. Edge pixel determination, impulse noise determination and filter processing are carried out respectively; an edge pixel is processed independently; and noise points in other pixels are processed by means of consistent weight mean filtering by selecting filter windows with different sizes. According to the method, edge pixel determination is carried out; an edge pixel is determined according to the characteristic of a large difference of pixel values around the edge pixel point of the image; noise removing is carried out by using an independent way, so that image edge information can be kept well to prevent an edge blurring phenomenon. During an impulse noise filtering process, no fuzzy rule needs to be designed; and because no threshold selection needs to be carried out, the calculation efficiency is improved. The method is suitable for noise removing of images with different pollution degrees.

Description

technical field [0001] The invention relates to an image processing method, in particular to a method for removing noise from an image polluted by salt and pepper noise. Background technique [0002] During the process of digitization and transmission, images are often affected by the interference of imaging equipment and external environmental noise. Such disturbed images are called noisy images or noisy images, and the process of reducing noise in digital images is called image denoising. . The purpose of image denoising is to estimate and restore the original real image based on the observed degraded image. During the denoising process, the important structural information in the image, such as edge information, will be destroyed to a certain extent, and the edge will become blurred. It brings interference to the follow-up work of image processing (such as edge detection, pattern recognition, etc.), so it is very necessary to maintain the edge information of the image an...

Claims

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Application Information

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IPC IPC(8): G06T5/00
CPCG06T2207/20192G06T5/70
Inventor 杨剑宇周昌鑫何溢文
Owner SUZHOU UNIV
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