Infrared image detail enhancing method based on second-generation wavelet

An infrared image and detail technology, applied in the field of image processing, can solve problems such as image boundary blur, unfavorable image analysis and recognition, and image is susceptible to noise interference, so as to achieve the effect of suppressing noise and reducing the amount of calculation

Active Publication Date: 2014-09-10
CHANGZHOU MICROINTELLIGENCE CO LTD
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Problems solved by technology

[0005] Due to the low contrast and signal-to-noise ratio of the infrared image, blurred image edges, and the image is susceptible to noise interference, the processing methods in the prior art usually enhance the infrared image while the noise is greatly amplified; if a filter is used to filter the noise, then It often makes the image boundary blurred, which is not conducive to the analysis and recognition of subsequent images.

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  • Infrared image detail enhancing method based on second-generation wavelet
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  • Infrared image detail enhancing method based on second-generation wavelet

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Embodiment 1）

[0031] See Figure 1 to Figure 5 , the infrared image detail enhancement method based on the second-generation wavelet of the present embodiment, the image enhancement object adopted is the woods (such as figure 2 ) and buildings (such as image 3 ) infrared image, the simulation software uses MATLAB7.0. to the following image 3 The processing of the infrared image of the building shown (hereinafter referred to as infrared image I) will be described, and the specific implementation steps are as follows:

[0032] (1) Use the second-generation wavelet integer transformation of wavelet db1 (namely, the wavelet lifting integer algorithm) to decompose the infrared image I with single-layer discrete wavelet. The db1 wavelet lifting and decomposition code is as follows:

[0033] LSdbint=liftwave('db1','int2int');

[0034] els={'p',[-12-1] / 4,0};

[0035] LSdbint1=addlift(LSdbint,els);

[0036] [cA,cH,cV,cD]=lwt2(I,LSdbint1);

[0037] The above-mentioned LSdbint1 is a new wave...

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Abstract

The invention provides an infrared image detail enhancing method based on second-generation wavelet. The method comprises the following steps: single-layer discrete two-dimensional wavelet decomposition is performed on an infrared image by use of a db1 second-generation wavelet integer lifting algorithm to obtain a low-frequency sub-band decomposition coefficient and three high-frequency sub-band decomposition coefficients respectively correspond to horizontal, vertical and diagonal directions; a corresponding threshold T of positive and negative coefficients of the three high-frequency sub-band decomposition coefficients is solved according to a formula; histogram equalization is performed in the positive and negative coefficients of the three high-frequency sub-band decomposition coefficients, and new coefficients of positive and negative parts of the three high-frequency sub-band decomposition coefficients are calculated; and finally, wavelet reconstruction is performed on the low-frequency sub-band decomposition coefficient and the three new high-frequency sub-band coefficients to obtain a detail-enhanced infrared image. According to the invention, details can be enhanced to the maximum extent on the premise of effectively suppressing noise, and the defect that noise is amplified after image enhancement existing in common algorithms like homomorphic filtering and histogram equalization is overcome.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a second-generation wavelet integer transform infrared image detail enhancement method. Background technique [0002] Infrared images were born with the emergence of infrared imaging technology. Infrared thermal imaging technology, also known as thermal imaging technology, is a radiation information detection technology. The infrared thermal imaging system can convert the distribution of infrared radiation naturally emitted by the surface of an object into a visible image. Because different objects or different parts of the same object have different infrared radiation characteristics (such as temperature and emissivity), the system can intuitively display the differences and distinguish them, and convert them into visible images, thereby extending the range of human visual perception It extends from the traditional visible spectrum to the infrared radiation spectral re...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00
Inventor 王海峰陈海忠吴卫华彭建业章怡
Owner CHANGZHOU MICROINTELLIGENCE CO LTD
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