Image harmonic average denoising method
A blending and image technology, applied in the field of image blending and average denoising, can solve the problems of losing image edge information, image quality degradation, etc., and achieve the effect of reducing computational complexity, simple and easy algorithm, and accurate denoising effect
Inactive Publication Date: 2017-02-15
SHIJIAZHUANG TIEDAO UNIV
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Problems solved by technology
[0003] The ultimate goal of image and video denoising is to improve a given image and solve the problem of image quality degradation caused by noise interference in actual images
Denoising technology can effectively improve image quality, increase signal-to-noise ratio, and better reflect the information carried by the original image. As an important preprocessing method, people have conducted extensive research on image denoising algorithms. Among the existing denoising algorithms, some denoising algorithms achieve good results in low-dimensional signal image processing, but are not suitable for high-dimensional signal image processing; or the denoising effect is good, but part of the image edge information is lost. Or work on detecting image edge information and retaining image details
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[0030] Embodiment (adopting 5 * 5 square templates, see figure 1 ):
[0031] The denoising steps when using a 5×5 square template are as follows:
[0032] (a) read in a frame of image, let the first pixel be the current pixel;
[0033] (b) judge whether the current pixel is a noise point, if so, process according to the following steps, if not, set the next pixel as the current pixel, and then judge until encountering a noise point or the algorithm ends; the above-mentioned judgment noise The point method adopts the interval method, that is, the gray value between 0-5 or 250-255 is a noise point, otherwise it is a signal point;
[0034] (c) taking the noise point as the center, constructing a 5×5 square template for the current pixel on the image, the template includes 5 pixels on both the horizontal axis and the vertical axis;
[0035] If the pixel on the image boundary is noise, the part of the 5×5 square template constructed with this pixel as the center that exceeds the...
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The invention discloses an image harmonic average denoising method. The method includes reading in a frame of image and determining whether the current pixel is a noise spot; constructing a square template taking the noise spot as the center; calculating the standard grey value (as show in the description) of the current pixel in the square template by means of a harmonic average formula; denoising; and determining whether the processing of the pixel is completed. According to the method, the standard gray evidence values of the effective pixels in the template are calculated to replace the values of the noise pixels. The algorithm is simple and easy, the calculating complexity is effectively reduced, and the accurate denoising effect can be achieved.
Description
technical field [0001] The invention belongs to the technical field of digital image processing, and in particular relates to an image harmonic average denoising method. Background technique [0002] With the popularization of various digital instruments and digital products, images and videos have become the most commonly used information carriers in human activities. They contain a lot of information about objects and become the main way for people to obtain original information from the outside world. However, in the process of image acquisition, transmission and storage, it is often interfered and affected by various noises to degrade the image, and the quality of the image preprocessing algorithm is directly related to the effect of subsequent image processing, such as image segmentation, Target recognition, edge extraction, etc., so in order to obtain high-quality digital images, it is necessary to perform noise reduction processing on the image, while maintaining the ...
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IPC IPC(8): G06T5/50
CPCG06T5/50
Inventor 赵晔田瑞兰刘靖纳王秋宝张丽丽
Owner SHIJIAZHUANG TIEDAO UNIV