Image filtering and denoising method

An image filtering and pixel point technology, which is applied in the field of image processing, can solve the problems of not being able to adapt to low-contrast area thresholds well, and achieve the effects of improving observation comfort, preventing edge blurring, and reducing impact

Active Publication Date: 2015-02-04
LUOYANG INST OF ELECTRO OPTICAL EQUIP OF AVIC
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Problems solved by technology

[0005] The present invention provides an image filtering and denoising method, aiming to solve the problem that if both high-contrast areas and low-contrast areas are considered in the same image, the threshold in the high-contrast area cannot be well adapted to the threshold in the low-contrast area The problem

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Embodiment Construction

[0027] The present invention first constructs a filtering window, and calculates the area contrast corresponding to the filtering window according to the gray value of each pixel in the filtering window.

[0028] Then calculate the weighting coefficient of each pixel point corresponding to the filtering window, and the method is: the closer the gray value of the pixel point in the filtering window is to the gray value of the center point of the filtering window, the closer the weighting coefficient value of the pixel point in the filtering window is. On the contrary, the weighting coefficient value of the pixel in the filtering window is smaller.

[0029] Finally, for the center point in the filter window, the gray value of each pixel point within the set range is weighted with the corresponding weighting coefficient and then averaged to obtain the gray value after the filter of the center point. The set range is determined by the area Contrast is determined, the larger the re...

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Abstract

The invention relates to an image filtering and denoising method. According to the method, firstly a filtering window is established to filter image signal data, then according to each pixel gray value in the filtering window, the area contrast corresponding to the filtering window and the weight coefficient of each pixel of the filtering window are obtained, finally for the center points, the gray value of each pixel in a center point setting range is subjected to weighting and averaging processing with the corresponding weighted coefficient in the filtering window so as to obtain the gray value after center point filtering, so on and so forth, and the gray values of other pixels after filtering of the whole image are obtained. According to the image filtering and denoising method, the problem that the threshold of a high contrast area can not be adapted to the threshold of a low contrast area when the high contrast area and the low contrast area are considered at the same time in the same image can be solved.

Description

technical field [0001] The invention belongs to the technical field of image processing, and relates to an image filtering and denoising method. Background technique [0002] Most of the existing infrared thermal imaging cameras have the problem of serious background noise in the local low dynamic range response area of ​​the enhanced image. [0003] Since infrared image enhancement itself has considered noise suppression, traditional filtering methods are not ideal for the residual regional background noise in the image, such as the traditional mean template method and neighborhood smoothing method. These methods are due to the gray value of each pixel. It is unconditionally replaced by the average or smooth value of the gray value of all pixels in the window, and the pixel at the center of the filter window is likely to be the edge detail information in the current image, which will inevitably lead to blurred image detail edges, which cannot be well preserved after enhance...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00
Inventor 刘琼毛义伟韩红霞
Owner LUOYANG INST OF ELECTRO OPTICAL EQUIP OF AVIC
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