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Image Enhancement Method Based on Directional Wave Transformation and Fuzzy Theory

A technology of image enhancement and fuzzy theory, applied in the field of image processing, can solve the problems of unsatisfactory enhancement effect and neglect of low-frequency information processing, etc., and achieve the effect of overcoming incorrect extraction and realizing enhancement effect

Active Publication Date: 2016-02-10
XIDIAN UNIV
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Problems solved by technology

[0004] Although the traditional transform domain image enhancement algorithms can get better enhancement effects, they can only enhance the high-frequency information and ignore the processing of low-frequency information that contains most of the image energy and information, so the enhancement effect is not good. ideal

Method used

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  • Image Enhancement Method Based on Directional Wave Transformation and Fuzzy Theory
  • Image Enhancement Method Based on Directional Wave Transformation and Fuzzy Theory
  • Image Enhancement Method Based on Directional Wave Transformation and Fuzzy Theory

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Embodiment Construction

[0038] Attached below figure 1 The steps of the present invention are further described in detail.

[0039] Step 1: Input the original image, construct three transformation matrices, and then perform directional wave transformation on the image to obtain three sets of low-frequency information and high-frequency information.

[0040] (1a) Input the original image, select the transformation direction and queue direction of the image, and construct the transformation matrix M Λ :

[0041] M Λ = a 1 b 1 a 2 b 2 = d ...

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Abstract

The invention discloses an image enhancement algorithm based on directionlet transform and fuzzy theory, and mainly solves the problem of poor image enhancement effect in the conventional image enhancement algorithm which only performs enhancement processing on high-frequency information but ignores the processing of low-frequency information containing most image energy and information. The algorithm comprises the following implementation steps: (1) inputting an original image, and respectively performing directionlet transform in three directions of 45 degrees, 90 degrees and 135 degrees on the original image; (2) performing fuzzy enhancement processing on the low-frequency information; (3) performing non-linear noise suppression enhancement processing on high-frequency information; (4) performing directionlet inverse transformation on the enhanced low-frequency information and the high-frequency information to respectively obtain the images enhanced at 45 degrees, 90 degrees and 135 degrees; and (5) performing weighted average on the three enhanced images to obtain a final enhanced image. The method has the advantages of high direction selectivity, obvious detail enhancement effect and high contrast, and can be used for the enhancement processing of a low-contrast image.

Description

technical field [0001] The invention belongs to the technical field of image processing, and relates to an image enhancement method based on directional wave transformation and fuzzy theory, which can be used for digital image preprocessing in the fields of public security monitoring, medical imaging, astronomical imaging and the like. Background technique [0002] In the process of image acquisition and transmission, it is inevitable to be disturbed by various factors such as insufficient sensor sensitivity, scattering of imaging light sources, analog-to-digital conversion problems, and random noise, which leads to unsatisfactory images obtained finally. Visual effects. In order to be more conducive to the identification, tracking, and understanding of the content in the image, the original image needs to be improved, that is, image enhancement. Image enhancement is an important branch of digital image processing. Its main content is to highlight the parts of the image we ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/00
Inventor 白静焦李成王爽周华吉高艺菡李阳阳马文萍马晶晶
Owner XIDIAN UNIV
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