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De-hazing method based on dual-tree complex wavelet

A double-tree complex wavelet and normalization technology, applied in the field of image processing, can solve the problems of ignoring influence, unsatisfactory removal effect, and only consideration, etc., to achieve the effect of simple calculation, enhanced display effect, and improved quality

Active Publication Date: 2015-11-25
CHANGZHOU LEMENG PRESSURE VESSEL CO LTD
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AI Technical Summary

Problems solved by technology

These defogging algorithms all assume that the ambient light is the same size value, and only consider the single scale of the image, ignoring the influence of different scale information on image processing
[0005] At present, although the dehazing algorithm in some simple scenes is relatively mature, the removal effect is not ideal in images with severe fog

Method used

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Embodiment Construction

[0024] The present invention will be described in detail below in conjunction with the drawings and specific embodiments of the specification.

[0025] The present invention proposes a two-step defogging method based on double-tree complex wavelet, which is used for misjudgment caused by fog in many visual fields such as transportation, military, aerospace, remote sensing, etc., to improve the quality of obtained pictures and enhance the display effect of the image. This method has a good defogging effect for images under uniform haze, improves the contrast of the image, and enhances the display effect of the image, so it is also an effective image defogging method. In the first step of the present invention, the high-frequency information of the image is analyzed by dual-tree complex wavelet transform to obtain the approximate value of atmospheric ambient light, and then the second step is to use the prior knowledge of the improved dark channel to derive the atmospheric transmitt...

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Abstract

The invention discloses a de-hazing method based on dual-tree complex wavelet and belongs to the technical field of image processing. The method comprises the following steps: to begin with, obtaining approximate value of atmospheric environment light through dual-tree complex wavelet transform; then, deducing a nonlinear normalized atmospheric transmissivity graph by utilizing an improved dark channel, and then, estimating a haze image; and finally, removing the haze to form a haze-free image according to the original image. The method has a better de-hazing effect for natural images of uniform haze and the like.

Description

Technical field [0001] The invention relates to image processing technology, in particular to a defogging method based on dual tree complex wavelet. Background technique [0002] Vision is one of the most important sources for humans to obtain information from the outside world, and there are many ways to obtain it. With the development of modern technology, most of the visual information is almost obtained from images. Due to severe weather (such as fog, haze, etc.) ), the contrast of the image taken by the imaging system is significantly reduced, and the details will be blurred, which will not reflect the real scene information at the time, which will seriously affect the further analysis and decision-making of military, transportation, aerospace and daily life. Therefore, image defogging is important Outdoor work plays a very important role. [0003] In recent years, the research on image defogging has also attracted more and more attention from many researchers at home and abr...

Claims

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Application Information

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IPC IPC(8): G06T5/00
Inventor 朱锡芳相入喜吴峰许清泉蔡建文张美凤夏靖杰
Owner CHANGZHOU LEMENG PRESSURE VESSEL CO LTD
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