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Total variation-based self-adaptation non-uniformity correction method for infrared focal plane

A non-uniformity correction, infrared focal plane technology, applied in the direction of radiation pyrometry, optical radiation measurement, instruments, etc., can solve the problem of not solving the convergence speed and "ghosting" effect well, and reduce ghosting "Effect, increase convergence speed, avoid ghosting" effect

Inactive Publication Date: 2014-11-05
NANJING UNIV OF SCI & TECH
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  • Claims
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Problems solved by technology

However, the above algorithms do not solve the convergence speed and "ghosting" effect well

Method used

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  • Total variation-based self-adaptation non-uniformity correction method for infrared focal plane
  • Total variation-based self-adaptation non-uniformity correction method for infrared focal plane
  • Total variation-based self-adaptation non-uniformity correction method for infrared focal plane

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Embodiment Construction

[0018] to combine figure 1 , the present invention is based on the total variation adaptive infrared focal plane non-uniformity correction method, and the specific steps include the following:

[0019] Step 1, calculate the forward and backward gradient F of the original image according to the odd and even frames f (i, j), F b (i, j), ie

[0020] f f,y (i,j)=X(i,j)-X(i+1,j)

[0021] f f,x (i,j)=X(i,j)-X(i,j+1)

[0022] f b,y (i,j)=X(i,j)-X(i-1,y)

[0023] f b,x (i,j)=X(i,j)-X(i,j-1)

[0024] f f When (i, j) is an odd frame, the center coordinate is the forward gradient of (i, j), F b (i,j) is the backward gradient with the center coordinates of (i,j) in even frames, X(i,j) is the pixel correction estimated value with the center coordinates of (i,j), F f,x (i, j), F f,y (i, j) are the forward gradients in the x and y directions, respectively;

[0025] According to the different odd and even frames of the image sequence, the forward and backward gradient values ​​a...

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Abstract

The invention discloses a total variation-based self-adaptation non-uniformity correction method for an infrared focal plane. The method comprises the following steps of: firstly, calculating root mean squares in different directions of gradient approximately as the total variation, and calculating a standard deviation in a neighborhood of a window at the same time for control of an iteration speed; and secondly, correcting an infrared image in non-uniformity with the most fast gradient descent algorithm in combination with a traditional neural network algorithm. In the method, calculated quantity is reduced, an algorithm effect is not influenced, an influence of an edge variation on an ideally-expected image is reduced, therefore, a ''ghost'' effect is effectively reduced.

Description

technical field [0001] The invention belongs to the technical field of image processing in infrared focal plane array detection technology, in particular to an adaptive infrared focal plane non-uniformity correction method based on total variation. Background technique [0002] Infrared focal plane array (IRFPA) detector has the advantages of high detection sensitivity, compact structure, passive imaging, good for concealment, day and night work, etc. It is widely used in industry, agriculture, aerospace, medicine, security, aviation, remote sensing and scientific research. However, due to the limitations of the basic manufacturing process, the responsivity of each unit of the detector array is inconsistent, resulting in fixed pattern noise superimposed on the image, seriously affecting the imaging quality of the system, reducing the spatial resolution, temperature resolution, The correct measurement of detection distance and radiation directly restricts the final performanc...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01J5/00G01J5/10
Inventor 陈钱任建乐顾国华钱惟贤路东明隋修宝何伟基任侃张闻文于雪莲李宏哲毛晨
Owner NANJING UNIV OF SCI & TECH
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