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High-space-frequency Correction Method for Infrared Stripe Nonuniformity

机译:红外条纹不均匀性的高空频校正方法

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Infrared image quality is a key factor of object detection. Stripe nonuniformity is very typical in the staring infrared focal plane array (IRFPA). In this paper, we propose a novel high-space-frequency correction method to eliminate the stripe nonuniformity. The kernel ideal is to eliminate the high-space-frequency part of stripe nonuniformity and retain its low-space-frequency part which can reduce unwanted ghosting artifacts. Firstly, the spatial characteristic of stripe nonuniformity is discussed, then correction parameters are computed based on the spatial high frequency part of image. Experimental results show the proposed mehtod can compute adaptive correction parameters of each readout channel and obtain a reliable stripe nonuniformity reduction.
机译:红外图像质量是物体检测的关键因素。条纹不均匀在凝视红外焦平面阵列(IRFPA)中非常典型。在本文中,我们提出了一种新颖的高空频率校正方法,以消除条纹不均匀性。内核的理想是消除条带不均匀的高空间频率部分,并保留其低空间频率部分,这可以减少不必要的重影伪影。首先讨论了条纹不均匀性的空间特征,然后根据图像的空间高频部分来计算校正参数。实验结果表明,所提出的方法可以计算出每个读出通道的自适应校正参数,并获得可靠的条纹不均匀性降低。

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