Method and apparatus for eliminating noise
A technology for eliminating noise and noise, applied in the field of image processing, it can solve problems such as image quality deterioration and image blurring, and achieve the effect of eliminating noise and maintaining image edge information.
Patent Information
- Authority / Receiving Office
- CN · China
- Current Assignee / Owner
- Publication Date
- 2008-11-19
- Estimated Expiration
- Not applicable · inactive patent
Smart Images
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Abstract
Description
technical field
[0001] The invention relates to the technical field of image processing, in particular to a method and device for eliminating noise. technical background
[0002] A simple and effective method for reducing noise is to use a low-pass filter. When observing from different points, the low-pass filter uses the average value of the observed pixel and its surrounding adjacent pixels as the observed The new value of the pixel. With this method, there is no large change in the value of the observed pixel, but the random noise component having no correlation is averaged with the noise component contained in the surrounding pixels, and the value of this component is close to "0".
[0003] Therefore, when the above method is adopted, the suppression effect of the noise is enhanced with the expansion of the search area of the surrounding pixels. However, using the surrounding pixels as an average operation, the information of the edge of the image is also reduced simi...
Examples
Embodiment Construction
[0041] In order to make the purpose of the present invention more clear, it will now be described in conjunction with the accompanying drawings and specific embodiments. The embodiments described below by referring to the figures are exemplary only for explaining the present invention and should not be construed as limiting the present invention.
[0042] figure 1 It is a flow chart of the noise elimination method of the present invention.
[0043] like figure 1 As shown, the process of noise elimination is realized through the following steps:
[0044] S101, comparing the center pixel with the pixels in the neighborhood;
[0045] The coordinate value of the center pixel point can be expressed as (x, y), and the coordinate value of each pixel point in the neighborhood is correspondingly expressed as (x+i, y+j), where j represents the number of rows above and below the center pixel point , i represents the number of rows to the left and right of the center pixel; wherein, t...