Infrared image strip noise removal method based on robust estimation
The invention discloses an infrared image strip noise removal method based on robust estimation, and belongs to the field of infrared image processing. Aiming at the problem that a common image denoising method cannot effectively remove stripe noise, the method comprises the following steps: firstly...
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creator | SONG LINGFEI HUANG HUA |
description | The invention discloses an infrared image strip noise removal method based on robust estimation, and belongs to the field of infrared image processing. Aiming at the problem that a common image denoising method cannot effectively remove stripe noise, the method comprises the following steps: firstly, modeling stripe noise by using a Gaussian white noise model with inconsistent column mean values, and effectively processing a column stripe structure of the noise; then, estimating a column mean value of the stripe noise by adopting a robust estimation method, effectively inhibiting the influence of an image edge on an estimation result, and effectively estimating the column mean value of the stripe noise in various scenes; and finally, subtracting the mean value of each column of noise to obtain a denoised image. The method is suitable for the field of infrared thermal imaging, can effectively make up the defects of an existing image denoising method in the aspect of removing infrared image strip-shaped noise, |
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Aiming at the problem that a common image denoising method cannot effectively remove stripe noise, the method comprises the following steps: firstly, modeling stripe noise by using a Gaussian white noise model with inconsistent column mean values, and effectively processing a column stripe structure of the noise; then, estimating a column mean value of the stripe noise by adopting a robust estimation method, effectively inhibiting the influence of an image edge on an estimation result, and effectively estimating the column mean value of the stripe noise in various scenes; and finally, subtracting the mean value of each column of noise to obtain a denoised image. 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Aiming at the problem that a common image denoising method cannot effectively remove stripe noise, the method comprises the following steps: firstly, modeling stripe noise by using a Gaussian white noise model with inconsistent column mean values, and effectively processing a column stripe structure of the noise; then, estimating a column mean value of the stripe noise by adopting a robust estimation method, effectively inhibiting the influence of an image edge on an estimation result, and effectively estimating the column mean value of the stripe noise in various scenes; and finally, subtracting the mean value of each column of noise to obtain a denoised image. The method is suitable for the field of infrared thermal imaging, can effectively make up the defects of an existing image denoising method in the aspect of removing infrared image strip-shaped noise,</description><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>ELECTRIC DIGITAL DATA PROCESSING</subject><subject>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</subject><subject>PHYSICS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2022</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZHDxzEsrSixKTVHIzE1MT1UoLinKLFDIy88sTlUoSs3NL0vMUchNLcnIT1FISiwGKsvPUyjKTyotLlFILS4B6inJzM_jYWBNS8wpTuWF0twMim6uIc4euqkF-fGpxQWJyal5qSXxzn6GhqYGJpamJpaOxsSoAQDDcjME</recordid><startdate>20220913</startdate><enddate>20220913</enddate><creator>SONG LINGFEI</creator><creator>HUANG HUA</creator><scope>EVB</scope></search><sort><creationdate>20220913</creationdate><title>Infrared image strip noise removal method based on robust estimation</title><author>SONG LINGFEI ; HUANG HUA</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN115049549A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2022</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>ELECTRIC DIGITAL DATA PROCESSING</topic><topic>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</topic><topic>PHYSICS</topic><toplevel>online_resources</toplevel><creatorcontrib>SONG LINGFEI</creatorcontrib><creatorcontrib>HUANG HUA</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>SONG LINGFEI</au><au>HUANG HUA</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Infrared image strip noise removal method based on robust estimation</title><date>2022-09-13</date><risdate>2022</risdate><abstract>The invention discloses an infrared image strip noise removal method based on robust estimation, and belongs to the field of infrared image processing. Aiming at the problem that a common image denoising method cannot effectively remove stripe noise, the method comprises the following steps: firstly, modeling stripe noise by using a Gaussian white noise model with inconsistent column mean values, and effectively processing a column stripe structure of the noise; then, estimating a column mean value of the stripe noise by adopting a robust estimation method, effectively inhibiting the influence of an image edge on an estimation result, and effectively estimating the column mean value of the stripe noise in various scenes; and finally, subtracting the mean value of each column of noise to obtain a denoised image. The method is suitable for the field of infrared thermal imaging, can effectively make up the defects of an existing image denoising method in the aspect of removing infrared image strip-shaped noise,</abstract><oa>free_for_read</oa></addata></record> |
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language | chi ; eng |
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subjects | CALCULATING COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING IMAGE DATA PROCESSING OR GENERATION, IN GENERAL PHYSICS |
title | Infrared image strip noise removal method based on robust estimation |
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