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Hybrid noise filtering method for removing Gaussian noises and impulsive noises

A technology of impulse noise and mixed noise, applied in image enhancement, image analysis, instruments, etc., can solve the problems of high algorithm complexity, complex principle, slow image processing speed, etc., to achieve low complexity, simple algorithm, and good filtering effect. Effect

Inactive Publication Date: 2017-11-24
NANJING UNIV OF SCI & TECH
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Problems solved by technology

The above methods can filter out the mixed noise in the image to a certain extent, but the principle is complicated, the algorithm complexity is high, and the image processing speed is slow

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  • Hybrid noise filtering method for removing Gaussian noises and impulsive noises
  • Hybrid noise filtering method for removing Gaussian noises and impulsive noises
  • Hybrid noise filtering method for removing Gaussian noises and impulsive noises

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Embodiment 1

[0094]The urban rail train receives current from the contact line through the pantograph sliding plate as the driving power of the train. Due to the high voltage of the contact line, there is certain electromagnetic interference around the pantograph. Therefore, in the pantograph state detection based on the image method, The obtained pantograph image has certain mixed noise, mainly impulse and Gaussian noise. For the denoising problem of mixed noise, the denoising effect of a single type of filter is not good. Generally, two types of filters are used to filter out the noise progressively. This patent proposes a mixed noise filtering algorithm for removing Gaussian noise and impulse noise. First, the median filtering algorithm based on ABDND is used to suppress the impulse noise, and then an improved mean filtering algorithm is used to suppress the Gaussian noise. The two algorithms Progressively filter out mixed noise in pantograph images. The evaluation mainly uses mean squ...

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Abstract

The invention discloses a hybrid noise filtering method for removing Gaussian noises and impulsive noises. The method comprises: for hybrid noises of Gaussian noise and impulsive noises in a pantograph image, the impulsive noises are suppressed by an advanced boundary discriminative noise detection (ABDND) algorithm including noise pixel detection, noise pixel verification and noise pixel filtering; for the image after suppression on the impulsive noises, pixel points are processed by using a sliding window, all points in the window are ranked based on gray values, maximum-value and minimum-value points are removed, weight distribution is carried out on the rest pixel points and weighted calculation is carried out, wherein a calculation result is used as an output gray value of the central point of the filtered window to replace the original gray value of the point; and the two kinds of algorithms are repeated to carry out progressive filtering, thereby filtering the hybrid noises in the pantograph image. The method having advantages of simple principle and good filter effect has the great significance in digital image processing.

Description

technical field [0001] The invention belongs to the technical field of digital image filtering, in particular to a mixed noise filtering method for removing Gaussian noise and impulse noise. Background technique [0002] The image is often polluted by various noises in the process of generation and transmission, resulting in the degradation of the quality of the image. In applications, there are two kinds of noise that can fully represent the noise in most images, namely Gaussian noise and impulse noise. These two kinds of noise and mixed noise are also unavoidable in practice. The removal of this mixed noise is an image processing method. important and challenging topics. [0003] With the continuous development of image processing technology, the problem of mixed noise filtering has always been the concern of scholars at home and abroad. Fang Xiancheng et al. proposed two different denoising methods based on BM3D for the Gauss-impulse mixed noise filtering problem. When ...

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Application Information

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IPC IPC(8): G06T5/00
CPCG06T2207/20024G06T5/70
Inventor 陈壮胡雪冰白良留张健雨张永
Owner NANJING UNIV OF SCI & TECH
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