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Polarized image fusion method based on discrete continuous curvelet

A technology of polarization image and fusion method, applied in the field of image processing, can solve the problem of not being able to improve the contrast of the target in real time, increasing the computing time, etc.

Inactive Publication Date: 2015-05-27
CHANGCHUN UNIV OF SCI & TECH
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Problems solved by technology

[0006] The present invention provides a polarization image fusion method based on discrete continuous curve waves to solve the current problem of increasing computing time and not being able to improve target contrast in real time

Method used

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  • Polarized image fusion method based on discrete continuous curvelet
  • Polarized image fusion method based on discrete continuous curvelet
  • Polarized image fusion method based on discrete continuous curvelet

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Embodiment Construction

[0084] Step 1: Acquisition of the initial image

[0085] The present invention uses the same polarized optical device to shoot objects in a darkroom environment at different times, thereby obtaining a 0-degree intensity image I 0 , 45 degree intensity image I 45 , 90-degree intensity image I 90 , 135 degree intensity image I 135 , a left-handed intensity image I 左旋 , right-handed intensity image I 右旋 The size of these six images is n×n, where n is the pixel value;

[0086] Step 2: Image Preprocessing

[0087] Because the image is affected by noise etc., it is necessary to carry out denoising preprocessing to the original image. The present invention uses a two-dimensional median filter to carry out noise preprocessing on the original data. The two-dimensional median filter is represented by formula (1):

[0088] I ' ij = Med A { I ...

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Abstract

The invention discloses a polarized image fusion method based on discrete continuous curvelet, and belongs to the field of image processing. The method comprises the following step: firstly, performing discrete continuous curvelet to polarization strength and polarization ratio images to obtain low-frequency sub-band coefficients and each direction sub-band coefficient; then selectively fusing low-frequency sub-band coefficient for the low-frequency sub-band coefficient by using weighted average criterion, selectively fusing each direction sub-band coefficient for each direction sub-band coefficient by using area energy maximal criterion, and finally performing inverse discrete continuous curvelet to obtain a final fusion image. The discrete continuous curvelet is realized fast by adopting the Wrapping-based method, and the redundant information of the conversion result is low. Experimental results prove that the algorithm disclosed by the invention is very effective; furthermore, the edge and space grain information of the fused image are clear, the computing time of the algorithm is short, and the image information can be displayed well in real time.

Description

technical field [0001] The invention belongs to the field of image processing, in particular to a polarization image fusion algorithm based on discrete continuous curve waves (Curvelet). Background technique [0002] Polarization image fusion refers to the synthesis of information about images or image sequences of a certain scene obtained by the same sensor at different times, so as to generate a new image that describes the scene more comprehensively and accurately. [0003] There are two main difficulties in the research of multi-scale image fusion. One is the selection of multi-scale decomposition methods, and the other is the selection of fusion criteria. A large number of studies have shown that: mainly the multi-scale transformation decomposition method directly affects the polarization image fusion effect. [0004] Literature "A region-based multi-resolution image fusion algorithm. Information Fusion at the Fifth International Conference of IEEE [J], 2002: 1557-156...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/50
Inventor 黄丹飞陈俊强
Owner CHANGCHUN UNIV OF SCI & TECH
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