• We develop the minimum mean square error (MMSE) method for stripe nonuniformity correction (NUC).

    本文提出了可进行条纹非均匀性校正的最小均方误差法(MMSE)。

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  • The algorithm is compared with the traditional two-point correction algorithm in nonuniformity correction.

    结果表明,该方法具有校正精度高、成像效果好等优点。

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  • The processor mainly encompasses a nonuniformity correction module, a real-time image enhancement module and a display driver.

    处理器主要包括非均匀校正模块、实时图像增强模块和显示驱动模块。

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  • In this paper, the disadvantages of the traditional nonuniformity correction methods for infrared focal plane arrays are analyzed firstly.

    首先分析了传统的非均匀性校正方法的缺点,指出自适应校正红外焦平面器件非均匀性的必要性。

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  • The result shows that this nonuniformity correction method can improve the analytic precision of the polarization information in an image.

    结果表明,非一致性校正可提高成像偏振信息的解 析精度。

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  • Compensating for temporal drift of fixed-pattern noise is an important problem in the techniques for nonuniformity correction of infrared focal plane arrays.

    补偿固定噪声的时间漂移是红外焦平面非均匀校正技术中面临的一个重要问题。

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  • The two-point correction method is analyzed, and a new real-time nonuniformity correction algorithm for IRFPA is proposed by using field programmable gate array(FPGA).

    提出了一种以FPGA为核心的焦平面器件实时非均匀性校正方法,能够实时地完成非均匀性校正系数的在线计算、红外图像的非均匀性校正。

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  • In order to solve the problem of motion estimation for nonuniformity correction of infrared focal plane arrays, a new fast algorithm for image registration is presented.

    为了解决红外焦平面非均匀算法中出现的运动估值问题,提出了一种新的快速图像配准算法。

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  • Based on the analysis of the present algorithms of IRFPA nonuniformity correction (NUC), a new adaptive technique was discussed, to which the wavelet filter theory was applied.

    在分析红外焦平面阵列非均匀性校正现行算法的基础上,提出了一种具有自适应性能的新算法。

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  • With computer terminal, optic system and software, the outdoor experiments are carried out aiming at distant target, and the image are processed by nonuniformity correction etc.

    该系统以计算机为终端,配合光学系统和软件,进行了外场远目标成像试验,并对图像进行了非均匀性校正等处理。

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  • For the nonuniformity in IRFPA, we discussed calibration-based nonuniformity correction techniques, compared two-points correction algorithm and multi-points correction algorithm.

    在基于标定的非均匀性校正算法方面进行研究,比较了两点温度定标算法和多点温度定标算法的校正效果;

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  • On the basis of analysis for several kinds of nonuniformity correction algorithms, a new scene-based nonuniformity correction algorithm easy to implement in hardware is put forward.

    在分析了几种非均匀校正算法特点的基础上,提出了一种易于硬件实现的新算法,并给出了具体的硬件实现方法。

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  • Then, it researched some main methods of nonuniformity correction and detecting approach and compensation of blind-pixel of focal plane array, and the techniques of infrared image processing.

    其次研究了几种主要的非均匀校正方法以及焦平面阵列元的盲元检测和补偿的方法,对红外图像处理技术做了研究。

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  • It can implement FPA data sample, data rearrange, nonuniformity correction, image enhancement, defect pixel automatic searching and compensation, video signal synthesizing and displaying, etc.

    可以实时完成焦平面信号的数据采集、数据重排、非均匀性校正、图像增强、疵点自动查找和补偿以及视频合成显示等一系列功能。

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  • A new method, named two point IRFPA nonuniformity correction method based on integration adjustment and noise equilibrium , to correct IRFPA nonuniformity in dim target detection system was presented.

    提出了一种在弱目标检测系统中,线列或面阵红外焦平面的非均匀校正算法-基于可变积分时间和均衡噪声的两点现场校正算法。

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  • Experimental results showed that the infrared image nonuniformity real-time correction system based on DSP can do the correction in a simple way with satisfactory results.

    实验结果达到了预期目的,表明基于DSP的红外图像非均匀性实时校正系统实现的校正方法简单,效果理想。

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  • For this purpose, correction arithmetic design and scanning hardware structure design are developed in this paper to remove the nonuniformity of CR image.

    为此,论文从研究校正算法和扫描硬件结构设计二个方面对数字化CR成像不均匀性进行了研究与改进。

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  • Based on the nonuniformity analysis of image in the X-Ray security inspection system, a novel correction method using both software correction and hardware correction is proposed.

    首先分析了X射线安检系统应用中图像非均匀性的原因,并在此基础上提出了一种新的软硬件结合的校正方法。

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  • Based on the nonuniformity analysis of image in the X-Ray security inspection system, a novel correction method using both software correction and hardware correction is proposed.

    首先分析了X射线安检系统应用中图像非均匀性的原因,并在此基础上提出了一种新的软硬件结合的校正方法。

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