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基于双重离散小波变换的遥感图像去噪算法

DOI: 10.6046/gtzyyg.2015.04.03, PP. 14-20

Keywords: 遥感图像,离散小波变换(DWT),二维多级中值滤波(TMMF),改进的TMMF算法,改进的硬阈值函数模型,去噪算法

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Abstract:

结合离散小波变换(discretewavelettransform,DWT)与二维多级中值滤波(two-dimensionalmulti-stagemedianfiltering,TMMF)算法,提出了一种遥感图像自适应去噪(de-noising)算法。该算法首先对噪声图像进行单层DWT,分出低频子图像和高频子图像,由于其中的低频子图像包含了大量背景信息,几乎不受噪声的污染,因而变换后仍保持原样无需再处理;对于高频子图像继续执行单层DWT,获得多方向分布的次低频子图像和次高频子图像;然后对次高频子图像采用改进的TMMF算法进行去噪,对次低频子图像采用改进的小波硬阈值函数模型进行噪声抑制;最后对上述去噪后的子图像进行二次小波重构,得到去噪后的遥感图像。采用3景细节信息丰富的遥感图像进行算法性能测试,并与TMMF算法、改进的TMMF算法以及小波变换硬阈值去噪算法进行比较,结果表明,基于双重离散小波变换算法的去噪性能有所提升。

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