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Research on the Compression Algorithm of the Infrared Thermal Image Sequence Based on Differential Evolution and Double Exponential Decay Model

机译:基于差分演化和双指数衰减模型的红外热图像序列压缩算法研究

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This paper has proposed a new thermal wave image sequence compression algorithm by combining double exponential decay fitting model and differential evolution algorithm. This study benchmarked fitting compression results and precision of the proposed method was benchmarked to that of the traditional methods via experiment; it investigated the fitting compression performance under the long time series and improved model and validated the algorithm by practical thermal image sequence compression and reconstruction. The results show that the proposed algorithm is a fast and highly precise infrared image data processing method.
机译:本文通过组合双指数衰减拟合模型和差分演化算法提出了一种新的热波图像序列压缩算法。本研究基准测试的拟合压缩结果和所提出的方法的精度是通过实验的传统方法的基准测试;它在长时间序列和改进的模型下调查了拟合压缩性能,并通过实用的热图像序列压缩和重建验证了算法。结果表明,该算法是一种快速且高精度的红外图像数据处理方法。

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