Adaptive stripe noise removal model based on spatial characteristics
Zhiyong Zuo,
Zhongjian Wu,
Dong Li
et al.
Abstract:Removing stripe noise is a fundamental task in remote sensing image processing, which is of great significance for improving image quality and subsequent applications. In this paper, an adaptive strip noise removal model is proposed with the spatial characteristics. Firstly, an adaptive weight function is constructed using local absolute differences to adaptively control the constraint intensity of the penalty term at different pixel points in the adaptive strip noise removal model. Secondly, L1 norm is used t… Show more
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