Infrared image parity correction method based on block length optimization
A technology of infrared image and correction method, applied in image communication, parts of color TV, parts of TV system, etc., can solve problems such as difficult to obtain global optimal solution, loss of effective pixels, etc., to achieve clarity and target High recognition, remove parity dislocation noise, and ensure the effect of accuracy and stability
Pending Publication Date: 2022-04-05
BEIJING RES INST OF SPATIAL MECHANICAL & ELECTRICAL TECH
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[0003] The parity correction of infrared images belongs to the category of image registration, and can be divided into methods based on pixel point matching and methods based on pixel block matching. Among them, the method based on pixel point matching is only suitable for solving the situation where the displacement is relatively small. If the pixel point matching is large, multiple local optimal solutions will be obtained, and eventually the matching process for the entire image is a high-dimensional optimization problem, and it is difficult to obtain the global optimal solution
The method based on pixel block matching generally defaults to a block length in advance, which will lead to the loss of effective pixels and can only obtain a partial solution
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[0102] Taking a 12-bit infrared image of 512×2850 to be parity-corrected as an example, the size of the odd image X and the even image Y are both 256×2850, the flow of the infrared image parity correction method based on block length optimization is as follows figure 1 As shown, the specific process is as follows:
[0103] (1) Set the initialization block size parameter b=5, and the pixel column occupancy count e 4 =0, the largest block
[0104] (2) Calculate the number of blocks Initialize the array U occupied by the pixel column as an n-dimensional 0 array;
[0105] In this example, if figure 2 As shown, the size of the provided infrared image to be parity correction is 512×2850, and the size of the odd pixel image X and the idol image Y are both 256×2850 matrix, so n=2850;
[0106] (3) Perform optimal offset by block label Calculate and update the array U occupied by the pixel column; The size of U is 80×2850, and the size of U is 1×2850. The specific steps are ...
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The invention relates to an infrared image parity correction method based on block length optimization, and belongs to the field of infrared image processing. Block length optimization calculation and non-uniformity correction processing can be carried out at the same time in infrared image parity correction processing, the problem that a traditional infrared image parity correction method is insufficient is solved, and a method for carrying out block length optimization search with the effective pixel column occupancy as a target function is provided. The method for correcting the parity of the infrared image is more stable and effective, parity dislocation noise in the infrared image can be effectively removed, original image information is kept to the maximum extent, and a high-quality parity correction result image is obtained.
Description
technical field [0001] The invention belongs to the field of infrared image processing and relates to an infrared image parity correction method based on block length optimization. Background technique [0002] Due to the limitation of the manufacturing process, the infrared detector will adopt the pattern of odd and even rows staggered to expand the imaging range of the sensor, and at the same time, it can effectively reduce the loss of information between adjacent pixels. In the process of infrared sensor aerial imaging, although the commercial stabilized platform can effectively isolate the vibration, because the load platform (aircraft) is affected by the uneven wind and power, the speed of motion cannot be kept stable, so that the odd-numbered row array and the even-numbered row array The same ground object information is in different positions and attitudes, which causes the stagger between the odd and even lines of the interlaced image. These staggers are not a const...
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IPC IPC(8): H04N9/64H04N5/33
Inventor 王小勇文高进吴立民钟灿龙亮王哲黄浦
Owner BEIJING RES INST OF SPATIAL MECHANICAL & ELECTRICAL TECH