On-satellite infrared image stripe noise removal method based on similar line window mean value compensation

Abstract

The invention discloses an on-satellite infrared image stripe noise removal method based on similar line window mean compensation. According to the method, firstly, a one-dimensional sliding window with a size N is selected according to an image size to be used as a sliding line window. The sliding line window carries out scanning from an uppermost end to a lowermost end of each column along a stripe noise direction, and a line window with smallest variance, namely, a similar line window of each column, is selected; then gray level mean difference of the similar line window and adjacent areasthereof is calculated to obtain stripe noise difference values of adjacent columns; and finally, a stripe noise value of a first column is set to zero, a noise value of each column is iteratively calculated according to the stripe noise difference values of the adjacent columns, and ideal gray level values of a real ground object can be obtained by subtracting the noise values from original gray level values. Compared with the prior art, the method is low in computational complexity, good in robustness, and high in fidelity on texture details.

Description

technical field [0001] The invention relates to a method for removing streak noise of an infrared image on a satellite based on similar line window mean value compensation, and belongs to the technical field of digital image processing. Background technique [0002] During the formation of infrared images, noise exists in every link of image acquisition, such as periodic offset of sensors, electromagnetic interference of load components, etc. The generation of fringe noise is caused by the difference in response to repeated scanning of the scanned detection element during the imaging process of the satellite’s repeated scanning of ground features by sensors and photoelectric devices. Different photosensitive elements will produce different output signals for the same infrared radiation, and the sensor scanning A special noise with periodicity, directionality, and stripe distribution caused by disturbances caused by various factors such as mechanical movement. [0003] Infra...

AI Technical Summary

Problems solved by technology

However, the adaptability and universality of these methods are poor, and often require a single type of object in the image, and the algorithm calculation is complex

For such situations, many scholars have proposed improved algorithms for streak noise. Although these methods achieve the purpose of maintaining image quality and effectively removing streak noise to varying degrees, the effect is not ideal.

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