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Method for calculating marginal information in noise image

A technology of edge information and calculation method, applied in the direction of calculation, image analysis, image data processing, etc., which can solve the problems of retaining image edges and low edge positioning accuracy.

Inactive Publication Date: 2013-03-27
北京市文化科技融资租赁股份有限公司
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Problems solved by technology

In this technology, how to accurately and effectively preserve the edge of the image under the interference of a large amount of noise is a difficult problem
Using the edge operator to directly process the image will introduce noise edges; while calculating variance is a commonly used edge estimation technique in current image processing algorithms, but its edge positioning accuracy is not high

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  • Method for calculating marginal information in noise image
  • Method for calculating marginal information in noise image
  • Method for calculating marginal information in noise image

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Embodiment Construction

[0035] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0036] Regression analysis is an effective statistical tool, which can analyze and predict according to the obtained independent variable set and dependent variable set, and obtain statistical results of relevant information. In the present invention, we introduce the regression analysis into the image local edge and important texture analysis.

[0037] Since the image represents information in a two-dimensional space, the set of independent variables is the horizontal coordinate x 1 and the vertical coordinate x 2 Based on combination, such as the traditional two-dimensional binary independent variable set And denoted by X. The dependent variable set is the set of pixel values ​​in the area covered by the horizontal and vertical coordinates according to the column direction [y 1 ,y 2 ,...,y n ]'(The apostrophe after "]'" in this set mea...

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Abstract

The invention relates to a method for calculating marginal information in a noise image, belonging to the technical field of noise image processing and comprising the following steps: step 1, inputting the nose image by a user; step 2, setting a local area block P by using an image point-by-point as a center, and carrying out improved regression analysis fitting on the local area block P based on an independent variable {x1x2, x1, x2} so as to determine a regression analysis fitting error image Ereg, wherein the side length of the local area block P is set by the user; step 3, carrying out mean fitting on the image to determine a mean fitting error image Emean; and step 4, calculating according to a formula of F=Emean / Ereg so as to obtain an image margin. By using the method for calculating the marginal information in the noise image, and based on the effective extraction of the regression analysis for the image margin, the method is of great help in completion of noise removal in the noise image, so that the marginal positions are effectively reflected and the noise interference can be eliminated maximally.

Description

technical field [0001] The invention relates to the technical field of noise image processing, in particular to a method for calculating edge information in a noise image. This algorithm is a noise image edge extraction method based on back binary regression analysis, which is suitable for high-quality and high-efficiency video and image special effect processing and synthesis software. Background technique [0002] In image / video processing software, it is a commonly used image processing technique to restore images containing noise. In this technology, how to accurately and effectively preserve the edge of the image under the interference of a large amount of noise is a difficult problem. Using the edge operator to directly process the image will introduce noise edges; while calculating the variance is a commonly used edge estimation technique in current image processing algorithms, but its edge positioning accuracy is not high. Contents of the invention [0003] In vi...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/00
Inventor 徐进郑鹏程孙季川
Owner 北京市文化科技融资租赁股份有限公司
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