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Temporal High-pass Filter Nonuniformity Correction Based on Guided Bilateral Filter for IRFPA

机译:基于引导双边滤波器的IRFPA时间高通滤波器非均匀性校正

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摘要

In order to solve the problem of ghost artifacts in the traditional nonuniformity correctionfNUC) method, a new scene-based guided bilateral filter(GBF) nonuniformity correction was proposed. In this paper, the original input image sequences are processed by the guided bilateral filter firstly, then the expected output imagine with the boundary information was estimated recursively only by using high spatial-frequency part of the image which contains most of the noise and nonuinformity. The method was verified with several infrared image sequences, and several experimental results show that the proposed method can significantly reduce the ghosting artifacts in temporal high-pass filter(THPF) and achieve a better nonunifotmity correction effect.
机译:为了解决传统的不均匀校正方法中的重影伪影问题,提出了一种新的基于场景的导引双边滤波器(GBF)不均匀校正方法。在本文中,首先由引导的双边滤波器处理原始输入图像序列,然后仅通过使用包含大部分噪声和不均匀性的图像的高空间频率部分来递归估计具有边界信息的预期输出图像。多次红外图像序列验证了该方法的有效性,实验结果表明,该方法可以有效减少时域高通滤波器(THPF)中的重影伪影,并具有较好的非单调校正效果。

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