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基于人眼视觉特性的IRFPA非均匀性校正算法研究 被引量:5

Research on IRFPA Non-uniformity Correction Algorithm Based on Human Visual Characteristics
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摘要 红外焦平面器件普遍存在着非均匀性问题,对红外焦平面阵列(IRFPA)实施非均匀性校正对提高成像质量具有重要意义。传统的IRFPA多点校正算法存在运算量大、实时性能低、实用效果差等问题,为此文章综合人眼视觉特性,提出IRFPA非均匀性多点校正算法。人眼视觉对图像的灰度分辨能力是有阈值限制的,利用这种分辨阈值可以对IRFPA的标定点进行有效压缩,生成像元号-校正系数表,然后通过查找系数表,实现IRFPA的非均匀性实时压缩校正。实验证明,提出的IRFPA非均匀性校正算法较传统的IRFPA非均匀性校正算法实时性能更好,非均匀性降低了0.203%。 Infrared focal plane devices generally present non-uniformity problems,and implementing non-uniformity correction on IRFPA is of great significance for improving image quality.The traditional IRFPA multi-point correction algorithm is of such problems as large amount of computation,low real-time performance and poor practical effect.Therefore,combining with the human visual characteristics,a multi-point correction method is proposed for IRFPA non-uniformity.The human eye vision has a threshold limitation on the gray resolution capability of the image,and with this resolution threshold,the calibration point of the IRFPA can be effectively compressed to generate a pixel number-correction coefficient table.Then,the IRFPA non-uniformity real-time compression correction can be implemented by looking up the coefficient table.The experimental results show that the proposed algorithm has better real-time performance than traditional algorithms,and the non-uniformity is reduced by 0.203%.
作者 代少升 易伟男 聂合文 杨雨 DAI Shaosheng;YI Weinan;NIE Hewen;YANG Yu(Chongqing Key Lab.of Signal and Information Processing.Chongqing University of Posts and Telecommun.,Chongqing 400065,CHN)
出处 《半导体光电》 CAS 北大核心 2020年第1期59-63,67,共6页 Semiconductor Optoelectronics
关键词 IRFPA 非均匀性校正 人眼视觉特性 多点校正 DSP IRFPA non-uniformity correction human visual characteristics multi-point correction DSP
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