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Method for improving image quality

An image quality and image technology, applied in the field of image processing, can solve problems such as deformation, noise, blur, etc., to achieve the effect of flat and tidy pictures, removal of image noise, and preservation of detail structure

Pending Publication Date: 2020-07-03
BEIJING INST OF RADIO METROLOGY & MEASUREMENT
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0002] Even if the experimental environment is relatively good, the data generated in actual production and life may have problems such as blurring, deformation, and noise, which will bring a lot of inconvenience to the follow-up work of engineers

Method used

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  • Method for improving image quality

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Experimental program
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Embodiment

[0038] like figure 1 A method for improving image quality is shown, which uses the Sobel gradient algorithm and the Laplacian operator to enhance the edge contour of the image, and then uses the sliding window to enhance the image details; converts the grayscale image into color, so that some Information that cannot be captured in grayscale images can be obtained, including the following steps:

[0039] S1. Perform non-local mean filtering on the image to be processed to obtain image A, and use a search window to perform non-local mean filtering on the pixels to be denoised in the image to be processed, and the search window is preferably 7×7 or 9×9;

[0040] S2. The image A is transformed into an image B by a Laplacian operator, and the parameter of the Laplacian operator is preferably 1;

[0041] S3, using the Sobel algorithm to highlight the image edge of the image A to obtain the image C, the sobel operator kernel is preferably 3;

[0042] S4. Mask the image B with the i...

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Abstract

The invention discloses a method for improving image quality. The method comprises the following steps: S1, performing non-local mean filtering on a to-be-processed image to obtain an image A; s2, performing Laplace operator transformation on the image A to obtain an image B; s3, highlighting the graphic edge of the image A by using a Sobel algorithm to obtain an image C; s4, masking the image B by the image C to form a masked image, and multiplying the masked image by an influence factor K to complete image enhancement; and S5, converting the enhanced image into a pseudo-color image E througha mapping function. According to the method, some bad texture burrs can be eliminated on the basis of well performing pseudo-color enhancement, and the image is smooth and tidy; and while the arrangement aesthetic feeling is improved, the thin and narrow detail structure of the graph surface is maintained.

Description

technical field [0001] The invention relates to the field of image processing. More specifically, it relates to a method for improving image quality. Background technique [0002] Even if the experimental environment is relatively good, the data generated in actual production and life may have problems such as blurring, deformation, and noise, which will bring a lot of inconvenience to the follow-up work of engineers. Therefore, it is very necessary to improve image quality and transform low-quality images into high-quality images. [0003] The present invention integrates the method of increasing the impact factor and color map, under the MFC platform, the opencv computer vision library is used to improve the image quality, which is convenient for the user to distinguish the content of the detected image with human eyes, improves the recognition degree, and provides engineering personnel with follow-up work such as Image annotation lays a solid foundation. Contents of t...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00
CPCG06T5/90G06T5/70
Inventor 张璐
Owner BEIJING INST OF RADIO METROLOGY & MEASUREMENT
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