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Research of infrared image optimization algorithm in Optical read-out IR imaging

机译:光学读出红外成像中红外图像优化算法的研究

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Different from traditional electrical readout infrared imaging, optical readout infrared imaging system readout the thermo-mechanical response of focal plane array via visible light. Due to the different parameters of the optical system, usually, the infrared thermal image pixel corresponding to the thermal element of focal plane array is not consistent. And the substrate-free focal plane array brings thermal crosstalk, the image blur. This manuscript analyzes the optical readout infrared imaging principle, proposes an one to one correspondence method between the infrared thermal image pixel and the thermal element of focal plane array, optimizes the digital infrared image by the thermal crosstalk on substrate-free focal plane array. Simulation and experiments show that the algorithm can effectively enhance the contours of the infrared image detail, enhancing image quality.
机译:与传统的电读出红外成像不同,光学读出红外成像系统通过可见光读出焦平面阵列的热机械响应。由于光学系统的参数不同,通常情况下,焦平面阵列热元件所对应的红外热像像素不一致。无基板焦平面阵列带来热串扰,图像模糊。该论文分析了光学读出红外成像原理,提出了红外热像像素与焦平面阵列热元件之间的一对一对应方法,通过无基板焦平面阵列上的热串扰优化了数字红外图像。仿真和实验表明,该算法可以有效地增强红外图像细节的轮廓,提高图像质量。

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