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Image stripe noise and bad line eliminating method

A stripe noise and image technology, which is applied in the field of image stripe noise and bad line elimination, can solve the problem of large error possibility, achieve high precision, and eliminate vertical or horizontal stripe noise.

Active Publication Date: 2016-05-04
BEIJING RES INST OF URANIUM GEOLOGY
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The β value is constantly changing, and the sensor needs to measure and determine the dark current before imaging, so the possibility of error is relatively large

Method used

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  • Image stripe noise and bad line eliminating method
  • Image stripe noise and bad line eliminating method
  • Image stripe noise and bad line eliminating method

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Experimental program
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Embodiment Construction

[0027] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0028] Such as figure 1 Shown, a kind of image stripe noise and bad line elimination method specifically comprise the following steps:

[0029] Step 1: Set the image as M rows and N columns, and calculate the mean value of the image and the pixel mean value of each column;

[0030] Step 2: Select the column whose pixel mean value is closest to the image mean value as the reference column, assuming it is the Jth column, let j L = j R =J.

[0031] Step 3: For the jth L -1 column of pixels, find the value β 1 , making

[0032] | Σ i = 0 M [ p ( j L - 1 , i ) + β ...

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Abstract

The invention belongs to the field of remote sensing image processing, and particularly relates to an image stripe noise and bad line eliminating method. The invention aims at overcoming the defects in the prior art to provide the image stripe noise and bad line eliminating method applied to a sensor imaging in a linear array push-broom way. Through the calculation on an image, non-zero values or saturation value bad lines in the image and the stripe noise in the image are eliminated. The method has the advantages that vertical or horizontal stripe noise in the image can be effectively eliminated; and the processed image does not have an obvious stripe noise phenomenon. In order to further verify the accuracy of the method, stripe-noise-free data with high quality is subjected to verification calculation; the operation aims at knowing whether an algorithm can realize error regulation on the stripe-noise-free data or not; the calculation on Aster data show that the most beta values of each line are 0, and only extremely specific values are 1 or 2; and the result shows that the precision of the beta values determined by the method is high.

Description

technical field [0001] The invention belongs to the field of remote sensing image processing, and in particular relates to an image strip noise and a method for eliminating bad lines. Background technique [0002] At present, most aerial or aerospace optical remote sensing images are acquired by linear push-broom method. When a sensor on the sensor line array fails, it will cause bad lines to appear in the collected image. Some bad lines have no value at all and cannot be used; the other part has values ​​significantly higher than other pixels to form bright lines, or data significantly lower than other pixels to form dark lines, this part of data can be processed to make it continue to use as normal pixels. [0003] The current main loop removal algorithms are mean value replacement method and moment filter method. The mean value replacement method is to use the average value of two cases adjacent to the bad line to replace the bad line data. This method completely discard...

Claims

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Application Information

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IPC IPC(8): G06T5/00
CPCG06T5/70
Inventor 陆冬华赵英俊张东辉周觅
Owner BEIJING RES INST OF URANIUM GEOLOGY