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UM (ANUM) image enhancement method and system based on adaptive normalization

A technology of image enhancement and processing method, applied in the field of image processing, which can solve the problems of easy amplification of noise, difficult selection of parameters, sensitivity to noise, etc., and achieve the effect of improving image quality, improving clarity, and enhancing edges

Inactive Publication Date: 2020-05-08
CENTRAL SOUTH UNIVERSITY OF FORESTRY AND TECHNOLOGY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0008] The classic UM algorithm should be extensive, but it also has three disadvantages. First, it is sensitive to noise and is easy to amplify noise; second, it is prone to overshoot; third, the algorithm has at least three parameters, which are difficult to choose

Method used

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  • UM (ANUM) image enhancement method and system based on adaptive normalization
  • UM (ANUM) image enhancement method and system based on adaptive normalization
  • UM (ANUM) image enhancement method and system based on adaptive normalization

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Embodiment Construction

[0020] For example, certain words are used in the description and claims to refer to specific components. Those skilled in the art should understand that hardware manufacturers may use different terms to refer to the same component. This specification and claims do not use differences in names as a way to distinguish components, but use differences in functions of components as a criterion. If the "include" mentioned in the entire specification and claims is an open term, it should be interpreted as "include but not limited to". "Approximately" means that within the acceptable error range, those skilled in the art can solve the technical problem within a certain error range, and basically achieve the technical effect. The following description of the specification is a preferred embodiment for implementing the present invention, but the description is for the purpose of explaining the general principles of the present invention, and is not intended to limit the scope of the pr...

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Abstract

The invention discloses a UM(ANUM) image enhancement method and system based on adaptive normalization, and the method comprises the steps: step 1, reading an original image A, and obtaining the maximum row number m and the maximum column number n of an image; step 2, judging whether the original image is a color image or a grey-scale image, if the original image is the color image, respectively reading each component pixel matrix of RGB, and if the original image is the grey-scale image, directly reading the pixel matrix; step 3, circularly obtaining each pixel A (i, j) from the pixel matrixline by line and column by column; step 4, if the pixel of the A (i, j) located at the edge of the image remains unchanged, V (i, j) = A (i, j); step 5, if the A (i, j) is located in the middle of theimage, carrying out the following 3 * 3 neighborhood operation, and carrying out the following cyclic operation; wherein the enhanced image V is obtained in the step 6. According to the technical scheme, the image edge is improved, and the definition and smoothness of the image can be improved.

Description

Technical field [0001] The present invention relates to the field of image processing, in particular to an image enhancement method and system. Background technique [0002] Image processing is one of the important research objects in the multimedia field, and is widely used in devices with display screens such as smart phones, digital cameras, personal computers, and medical equipment. The image obtained by the original shooting will have noise, and the useful information in the image needs to be enhanced by image enhancement technology, so as to improve the visual effect of the image, for a given image application occasion. [0003] Image enhancement technology, by enhancing the overall or local characteristics of the image, makes the original unclear image clear or emphasizes some interesting features, expands the difference between the features of different objects in the image, suppresses the uninteresting features, and improves it Image quality, rich information, strengthen ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00G06T7/181
CPCG06T7/181G06T5/70
Inventor 向佐勇
Owner CENTRAL SOUTH UNIVERSITY OF FORESTRY AND TECHNOLOGY