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Color image impulse noise filtering method based on Laplace detection and local similarity comparison

A technology of impulse noise and color images, applied in the field of image processing, can solve the problems of different differences, achieve the effects of reducing false detection and missing detection, simple calculation, and improved speed

Inactive Publication Date: 2017-03-29
TIANJIN UNIV
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Problems solved by technology

This method has certain limitations, because the difference between pixels in different regions of the color image is also different

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  • Color image impulse noise filtering method based on Laplace detection and local similarity comparison
  • Color image impulse noise filtering method based on Laplace detection and local similarity comparison
  • Color image impulse noise filtering method based on Laplace detection and local similarity comparison

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[0026] The present invention first adopts a method for edge detection to preliminarily judge the difference between the central point and surrounding pixels. This approach obtains a dissimilarity metric by convolving four one-dimensional Laplacian operators with pixels within a fixed window within the neighborhood of the detection pixel. The convolution kernel L(k) (k=1,2,3,4) of the Laplacian operator is as follows figure 1 As shown, first construct a 5×5 window with the pixel to be detected as the center point, and perform the following operations on the pixel values ​​of each channel of the pixel and the four convolution kernels shown in the figure:

[0027]

[0028]

[0029] where x 0 Indicates the center point pixel, x 1 , x 2 , x 3 , x 4 Indicates the surrounding 4 pixels in the convolution kernel. The parameter k represents the number of image channels, which can take values ​​1,2,3. m represents the number of directions of the convolution operation. L (k...

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Abstract

The invention relates to the field of image processing. In order to achieve effective elimination of misjudgment for a non-noise point and particularly misjudgment for pixel points of a pixel difference region at the edge and the like and be applicable to conditions with different pulse noise densities, a color image impulse noise filtering method based on Laplace detection and local similarity comparison adopts the technical scheme that convolution is performed on four one-dimensional Laplace operators and pixels in a fixed window in the neighborhood of a detected pixel so as to acquire a difference measurement value, and noise points are replaced by using a vector median filter and an average filter. The color image impulse noise filtering method is mainly applied to image processing occasions.

Description

technical field [0001] The invention relates to the field of image processing, in particular to a color image impulse noise filtering method based on Laplacian detection and local similarity comparison. Background technique [0002] The application of color images in multimedia technology is becoming more and more extensive, and the research on corresponding image processing technology has also made continuous progress. Images are often polluted by various types of noise, among which impulse noise, as a common noise, is often caused by optical sensor failure, aging of storage materials, voltage fluctuations in information transmission, memory access errors in circuits, and some other artifacts. caused by. The degradation of the image poses obstacles to other analysis in image processing such as object recognition and tracking. Therefore, the study of impulse noise filters is of great significance for eliminating impulse noise and restoring the original image as much as pos...

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Application Information

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IPC IPC(8): G06T5/00G06T5/10
CPCG06T5/10G06T2207/20024G06T2207/20182G06T5/70
Inventor 高静杜增权史再峰许泽昊罗韬
Owner TIANJIN UNIV
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