A Multi-scale Geometric Representation Method for Nonlinear Images

A nonlinear, multi-scale technology used in image enhancement, image data processing, instrumentation, etc.

Active Publication Date: 2016-05-11
NAT UNIV OF DEFENSE TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0005] In order to effectively solve the problem of nonlinear image multi-scale geometric representation, the present invention proposes a nonlinear image multi-scale geometric representation method

Method used

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  • A Multi-scale Geometric Representation Method for Nonlinear Images
  • A Multi-scale Geometric Representation Method for Nonlinear Images
  • A Multi-scale Geometric Representation Method for Nonlinear Images

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Embodiment Construction

[0035] The method for multi-scale geometric representation of nonlinear images provided by the present invention will be described in detail below with reference to the accompanying drawings.

[0036] figure 1 It is a flowchart of a method for multi-scale geometric representation of a nonlinear image provided by the present invention.

[0037] The first step of the flow chart is to construct the FIR median mixing filter, by obtaining the sampling subset Subset of the image by the four directional sub-filters 1 (m,n), Subset 2 (m,n), Subset 3 (m,n) and Subset 4 (m,n) and calculate the median value of the sampling subset to achieve. Each sub-filter is designed to retain detailed information in a certain direction. The FIR median hybrid filter combined with sub-filters in multiple directions can well capture and retain the edge detail information in each direction of the image. In addition, different sampling methods of the sub-filters can construct different FIR median hybrid filter...

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Abstract

The invention provides a nonlinear image multi-scale geometric representation method. The technical scheme comprises the following steps of 1, filtering an image by using an FIR medium value mixed filter; 2, performing 2-reducing sampling on the filtered image according to an interlacing inter-row mode to obtain a lower sampling image; step 3, performing medium value-based 2-increasing interpolation filtering on the lower sampling image to obtain an interpolation estimating image; step 4, subtracting the original image by the interpolation estimating image to obtain multiple scale layer nonlinear pyramid decomposing images; step 5, performing Shear directional filtering on each scale layer nonlinear pyramid decomposing image to obtain a sub-band image. The nonlinear image multi-scale geometric representation method belongs to an image nonlinear multi-scale geometric representation method with excellent performance, is less in operand, and has higher application values in aspects such as image compressing, edge extracting, grain retrieving.

Description

Technical field [0001] The invention relates to the fields of computer vision and digital image processing, and more specifically, to a method for multi-scale geometric analysis of nonlinear images. Background technique [0002] With the development of computer vision and digital image processing technology, many new image representation and processing tools have emerged in recent years. Among them, multi-scale geometric analysis has become a representative theoretical framework in the field of image understanding due to its characteristics such as multi-resolution, time-frequency localization, and multi-direction, making it possible to extract different target structural features from the details of different resolutions of the image. Possibly, greatly improving the performance of various image processing applications. In addition, the support interval of the multi-scale geometric analysis basis function has the characteristic of "anisotropy" that the aspect ratio changes with ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/00
Inventor 雷琳周石琳刘俊良邹焕新计科峰李智勇孙浩侯毅
Owner NAT UNIV OF DEFENSE TECH
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