Method for enhancing images based on multi-scale edge detection in wavelet reconstruction

An image enhancement and edge detection technology, applied in the field of image processing, can solve the problem that edge, contour and texture information cannot be effectively described and sparsely represented.

Inactive Publication Date: 2010-03-03
UNIV OF SCI & TECH BEIJING
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Problems solved by technology

[0006] Wavelet transform is suitable for representing isotropic and singular objects, but it cannot effectively describe and sparsely represent the edge, contour, and texture information of high-dimensional geometric features such as line singularity and curve singularity in the image

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  • Method for enhancing images based on multi-scale edge detection in wavelet reconstruction
  • Method for enhancing images based on multi-scale edge detection in wavelet reconstruction
  • Method for enhancing images based on multi-scale edge detection in wavelet reconstruction

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Embodiment Construction

[0039] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings. It should be noted that the implementation of the anti-symmetric biorthogonal wavelet image enhancement method according to the present invention is only an example, but the present invention is not limited to this specific implementation.

[0040] We will take the reconstruction enhancement of j-level wavelet transform coefficients as an example to describe in detail the image enhancement method based on multi-scale edge detection in the antisymmetric biorthogonal wavelet reconstruction process.

[0041] First, the fast reconstruction algorithm of wavelet transform coefficients between adjacent j+1 and j scales is:

[0042] W 2 j + 1 f _ LL = Σ ...

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Abstract

The invention relates to a method for enhancing images based on multi-scale edge detection in anti-symmetric biorthogonal wavelet reconstruction, aiming at realizing enhancement of image edges in thereconstruction process of wavelet tower-type data resolution. The method comprises the following steps: carrying out multi-scale wavelet decomposition on images; calculating a module value graph and aphase angle graph according to a semi-construction result, carrying out module maximum value detection and threshold value processing and extracting edge images of the scale in the wavelet reconstruction of each level; enhancing corresponding edge points of the semi-reconstruction image according to the edge images; continuing reconstruction to obtain the enhanced low frequency component of the last scale; and carrying out wavelet reconstruction level by level in terms of the reconstruction enhancement process of each level starting from the level of the most coarse resolution to realize image enhancement. The method for enhancing images can be widely used in fields about improving digital images such as medical imaging, biological features recognition, vehicles driving assistance, military, man-machine interaction and the like.

Description

technical field [0001] The invention relates to an image enhancement method based on multi-scale edge detection in the antisymmetric biorthogonal wavelet reconstruction process, which belongs to the field of image processing, in particular to an image enhancement method based on wavelet transform in the image enhancement technology. Background technique [0002] Image enhancement refers to the process of emphasizing certain features in the image and suppressing other information, improving visual effects, or making it more suitable for subsequent image processing and specific applications by adopting corresponding technical means according to actual needs. As a basic image processing technology, image enhancement includes a wide range of content, such as contrast enhancement, edge, contour, texture enhancement, image sharpening, noise removal, geometric distortion correction, etc., which can be called image enhancement in a broad sense. The image contrast is related to the g...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/10
Inventor 迟健男张闯谢秀贞史光远黄荣辉颜艳桃刘洋
Owner UNIV OF SCI & TECH BEIJING
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