A method for remove stripes from infrared image based on amplitude constraint
An infrared image and stripe removal technology, which is applied in image enhancement, image analysis, image data processing, etc., can solve problems such as poor effect, inability to eliminate vertical stripe noise, strong image edge interference, etc. The method is simple and avoids edge Information is weakened, the effect of good edge effect
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Embodiment 1
[0034] A method for removing streaks from an infrared image based on amplitude constraints, comprising the following steps:
[0035] S1: Filter the original image along the row direction of the pixel array to obtain the low-frequency information of the original image; for example figure 1 as shown, figure 1 bit original image, after figure 1 The row direction is filtered to obtain the low-frequency information figure 2 ;
[0036] S2: Use the original image and low-frequency information to filter to obtain the high-frequency information of the original image; image 3 as shown, image 3 is the high-frequency information after filtering;
[0037] S3: Perform mean value processing on the high-frequency information along the column direction of the pixel array to obtain the stripe amplitude in the column direction, such as Figure 4 shown;
[0038] S4: Perform fringe filtering using the original image and the fringe amplitude of each column to obtain an image after the ...
Embodiment 2
[0046] In this embodiment, on the basis of the first embodiment, a constraint operation on high-frequency information is performed.
[0047]After analyzing the above method, we found that although the above method can retain edge information, when performing mean processing on high-frequency information, because in the high-frequency information image, the information contained in the image: most of it is noise, stripes ; a small amount of edge information. If the mean value algorithm is performed on all high-frequency information, the image stripes can be suppressed, but the edge information on the image will also be weakened, so the mean value of the stripes obtained by the mean value algorithm is reflected on the image, including image edge information that does not need to be suppressed and needs to be suppressed. Suppressed fringe information; in particular, in infrared images with strong edge information and more, the fringe value of the mean algorithm deviates from the ...
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