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A Time-Domain Projection-Based Registration-Scene-Based Nonuniformity Correction Technology and its Detailed Hardware Realization

机译:基于时域投影的配准场景非均匀性校正技术及其详细的硬件实现

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摘要

Non-uniformity (NU) in infrared images can cause great degradation of the image quality and appearance. Scene-based nonuniformity correction (SBNUC) has become a very effective way to deal with NU. Although many SBNUC methods have been developed by researchers worldwide, few of them have a good correction performance and can be applied to small-package real-time devices. In this paper, we propose a time-domain projection-based registrationscene-based NU correction technology and its detailed hardware realization. We developed a new projection estimator to calculate the relative displacement of neighboring frames. The estimator uses a column and row projection vector to calculate the displacement separately without reducing the accuracy. We also developed an improved gain coefficient correction method using the corrected bias coefficient to correct the gain coefficient by clarifying the intrinsic relationship between these two coefficients instead of correcting them separately. We have also thoroughly analyzed how this technology performs with an actual infrared video sequence containing both low-frequency and high-frequency NUs. The hardware realization of this technology in a single-FPGA-core real-time system is also described in detail. We have successfully realized this technology in a real engineering application. Detailed flow charts for the hardware implementation of this algorithm are also provided.
机译:红外图像中的不均匀性(NU)可能会导致图像质量和外观大大降低。基于场景的非均匀性校正(SBNUC)已成为处理NU的一种非常有效的方法。尽管全世界的研究人员已经开发了许多SBNUC方法,但其中很少有一种具有良好的校正性能,并且可以应用于小型实时设备。在本文中,我们提出了一种基于时域投影的基于配准场景的NU校正技术及其详细的硬件实现。我们开发了一种新的投影估算器来计算相邻框架的相对位移。估算器使用列和行投影向量分别计算位移而不会降低精度。我们还开发了一种改进的增益系数校正方法,该方法通过使用已校正的偏置系数来澄清这两个系数之间的内在关系,而不是分别进行校正,从而校正增益系数。我们还彻底分析了该技术在包含低频和高频NU的实际红外视频序列中的性能。还详细描述了在单FPGA内核实时系统中该技术的硬件实现。我们已经在实际的工程应用中成功实现了这项技术。还提供了此算法的硬件实现的详细流程图。

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