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Airborne infrared degradation image correction method

A technology of degraded image and correction method, applied in the field of aerospace remote sensing, can solve the problems of image blur, ringing phenomenon amplification, etc., to achieve the effect of improving reliability and enhancing image quality

Active Publication Date: 2018-07-20
HUAZHONG UNIV OF SCI & TECH
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  • Claims
  • Application Information

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Problems solved by technology

[0005] In view of the above defects or improvement needs of the prior art, the present invention provides an airborne infrared degraded image correction method, thereby solving the technical problems of the prior art that easily blur the image and easily cause the ringing phenomenon to be amplified

Method used

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Embodiment 1

[0055] A method for correcting an airborne infrared degraded image, the method comprising the following steps:

[0056] (1) Fig. 2 (a) is the ripple noise of the airborne infrared degraded image provided by Embodiment 1 of the present invention; Fig. 2 (b) is the histogram projection of the airborne infrared degraded image provided by Embodiment 1 of the present invention Ripple noise; the size of the airborne infrared degraded image is 256*256, and the band noise in the airborne infrared degraded image is in the row direction, so the airborne infrared degraded image is extracted column by column;

[0057] (2) Extract the gray value of a column of pixels of the airborne infrared degraded image to form a one-dimensional signal f(x), x=0, 1, ..., N-1, such as image 3 As shown, the length is 256; perform discrete Fourier transform on f to obtain the frequency data sequence F,

[0058]

[0059] Among them, u is the frequency variable; the frequency corresponding to the nth po...

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Abstract

The invention discloses an airborne infrared degradation image correction method. The method comprises the steps that one-dimensional signal components are acquired according to the target direction of ripples in an airborne infrared degradation image; discrete Fourier transform is carried out on the one-dimensional signal components to acquire a frequency data sequence; an amplitude spectrum sequence and a phase spectrum sequence are acquired according to the frequency data sequence, and a cosine component is constructed; the cosine component of a corresponding column or a corresponding row is subtracted from the one-dimensional signal components of all columns or all rows in the airborne infrared degradation image, so as to acquire a ripple-removed airborne infrared degradation image; and histogram projection enhancement is used to enhance the ripple-removed airborne infrared degradation image to acquire a corrected airborne infrared degradation image. By removing ripples in the image and enhancing the image, the image quality can be effectively enhanced, and subsequent advanced applications of the image data can be improved.

Description

technical field [0001] The invention belongs to the field of aerospace remote sensing, and more specifically relates to an airborne infrared degradation image correction method. Background technique [0002] The airborne imaging environment is harsh, and imaging instruments are often affected by electromagnetic interference and high-frequency physical vibrations, which cause periodic ripples in the image, and the gray value of the original data in a certain direction is continuously high or low. . Infrared images have a wide gray range, but the effective gray range of the actual image is very small, and it is difficult to reach the maximum capability of the imaging instrument. Therefore, the contrast of the image is often poor, and the difference between the region of interest and the target and the background is not obvious. The moiré phenomenon conceals the real radiation information in the image, and the low contrast further reduces the quality of the image, which has an...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00G06K9/00G06F17/14
CPCG06F17/14G06T2207/20056G06T2207/10048G06F2218/04G06T5/73
Inventor 张天序陆檑张耀宗周灿新姚守悝
Owner HUAZHONG UNIV OF SCI & TECH
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