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Augmented reality image reproduction method based on fuzzy logic

A technology for reproducing images and reproducing images, applied in image enhancement, image analysis, image data processing, etc., can solve the problems of wavelet transform lack of translation invariance and direction selectivity, loss of image information, etc., to achieve obvious and clear edge details The effect of increased degree and reduced noise

Inactive Publication Date: 2017-02-15
BEIJING WEIMEI YUNXI SOFTWARE CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Dual-tree complex wavelet transform is an improvement based on wavelet transform. Wavelet transform lacks translation invariance and direction selectivity, so when using wavelet transform to process images, image information will be lost to a certain extent.

Method used

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  • Augmented reality image reproduction method based on fuzzy logic
  • Augmented reality image reproduction method based on fuzzy logic
  • Augmented reality image reproduction method based on fuzzy logic

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Embodiment Construction

[0019] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0020] A method for reproducing augmented reality images based on fuzzy logic provided by the present invention comprises the following steps:

[0021] Step 1: read in the augmented reality reproduction image;

[0022] Step 2: First, do two-layer dual-tree complex wavelet transform on the holographic reconstructed image to obtain 1 low-frequency component and 12 high-frequency components of the reconstructed image;

[0023] Step 3: Obtain the maximum value x ...

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Abstract

The invention discloses an augmented reality image reproduction method based on fuzzy logic, which relates to the technical field of augmented reality. The augmented reality image reproduction method comprises the steps of carrying out dual-tree complex wavelet decomposition on a reproduced image after denoising treatment firstly, so as to obtain a low-high-frequency coefficient matrix, performing fuzzy processing on low-frequency and low-frequency and high-frequency coefficients, namely, processing the coefficient matrix by utilizing a generalized fuzzy operator (GFO), mapping the coefficients into an ordinary fuzzy set, wherein some parameters therein are obtained through self-adaption, and performing inverse transformation on the processed coefficient matrix to obtain an augmented image. By adopting the augmented reality image reproduction method based on fuzzy logic, the objective image definition of the reproduced image can be increased, the noise can be reduced, and the edge details are expressed more obviously.

Description

technical field [0001] The invention relates to the technical field of augmented reality, in particular to an augmented reality image reproduction method based on fuzzy logic. Background technique [0002] In 1965, the famous cybernetics expert L.A. Zade proposed fuzzy mathematics, using strict mathematical methods to solve problems with uncertainty and ambiguity. In recent years, fuzzy theory has been widely used in many fields, and its application and research in the field of image processing has attracted great attention from scholars. The basic content of the enhancement of fuzzy logic is to transform the spatial domain image to the fuzzy domain through the membership function, that is, the fuzzy feature plane, and then process the coefficients through the fuzzy stretching enhancement function, and finally inversely transform the fuzzy processed coefficients back to the spatial domain. Thus, an image enhanced by fuzzy logic is obtained. [0003] Image enhancement can b...

Claims

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Application Information

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IPC IPC(8): G06T5/00G06T5/10G06T19/00
CPCG06T5/10G06T19/006G06T2200/04G06T2207/20064G06T2207/20192G06T5/00G06T5/70
Inventor 不公告发明人
Owner BEIJING WEIMEI YUNXI SOFTWARE CO LTD
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