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Method for image noise reduction based on transforming domain mathematics morphology

A mathematical morphology and image noise reduction technology, applied in the field of image noise reduction based on transform domain mathematical morphology, can solve the problems of failing to fully consider continuous edge information and restricting algorithm noise reduction performance

Inactive Publication Date: 2007-02-28
SHANGHAI UNIV
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  • Application Information

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Problems solved by technology

However, these threshold denoising methods fail to fully consider the continuous edge information of the image, which restricts the denoising performance of the algorithm.

Method used

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  • Method for image noise reduction based on transforming domain mathematics morphology
  • Method for image noise reduction based on transforming domain mathematics morphology
  • Method for image noise reduction based on transforming domain mathematics morphology

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Embodiment Construction

[0054] A preferred embodiment of the present invention is described as follows in conjunction with accompanying drawing:

[0055] The present invention aims to provide an image combination noise reduction method, as shown in FIG. 1 . This method first performs multi-scale and multi-directional Contourlet sparse transformation on the input noisy image, and then uses mathematical morphological operators to process high-frequency coefficients in the Contourlet domain to remove noise with a small support domain and effectively retain continuous The edge information of the image in the support domain, and finally the noise-reduced image is obtained through Contourlet inverse transformation, so as to achieve the purpose of image noise reduction.

[0056] The specific steps are:

[0057] 1. Initialize settings. Let i=0, j=0, set the maximum translation amount N in the row direction and column direction 1 and N 2 . At the same time, set the number of LP decomposition layers K and...

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Abstract

The invention relates to an image noise-reduction method based on transformation domain mathematical morphology. Wherein, it comprises that processing Contourlet rare transformation on the input noise image with multi sizes and multi directions; then using mathematical morphology algorism to process the high-frequency factor at Contourlet domain, to remove the noise with less support domain, and effectively keep the image edge information with continuous support domain; at last, using Contourlet inverse transformation to obtain noise-reduction image, to reduce the noise of image. The invention has wide application.

Description

technical field [0001] The invention relates to an image noise reduction method based on transform domain mathematical morphology. The method utilizes mathematical morphology operators to process high-frequency coefficients in the Contourlet domain, removes noise with smaller support domains in the image, and effectively retains noises with continuous Image edge information in the support domain to improve image quality. It is widely used in military and non-military fields such as optical imaging, target detection, security monitoring and other systems. Background technique [0002] Usually, in the process of image acquisition and transmission, there will be different degrees of noise pollution, and the purpose of image noise reduction is to remove the noise while retaining the main feature information of the image, that is, the edge information in the image to the greatest extent. Improve the restored quality of images. At present, image noise reduction methods are mainl...

Claims

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Application Information

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IPC IPC(8): H04N5/21
Inventor 方勇刘盛鹏
Owner SHANGHAI UNIV
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