航空图像压缩的双正交小波滤波器整数化设计

在航空图像压缩中,通常采用具有线性相位、正则性、消失矩和完全重构,及适于硬件实现、实时等特性的小波。根据小波滤波器设计,提出了一种基于图像压缩的构造整数双正交小波滤波器的设计方法。从选择小波基的原则为出发点,以CDF9-7小波基为参考,以压缩效果为准则来构造出更优的双正交整数小波基,并且采用航空图像为标准训练图像,以压缩比、峰值信噪比、压缩后保留能量百分比为参数,来寻找最优的小波基。试验结果证明,此方法可以实施非常简单的、无浮点乘法的运算,因而减少运算复杂性以及降低小波硬件实现的难度。

Design of integral biorthogonal wavelet filter for aviation image compression

In the aviation image compression,wavelet is usually adopted,which has the characteristics of linear phase,regularity property,vanishing moment,complete reconstruction,good real-time performance,and is suitable for hardware realization.According to the wavelet filter design,we put forward a method for constructing integral biorthogonal wavelet filter based on image compression.Considering the principle of choosing best wavelet filter and taking CDF9-7 as the reference,we used the compression result as the standard to construct a better integral biorthogonal wavelets filter,and adopted the aviation image as the standard training image.The compression ratio,PSNR and reserved energy percentage after compression are taken as parameters to look for the best wavelet filter.Experiment result showed that this method can carry out very simple operation without floating-point multiplication,thus can reduce the operation and hardware realization complexity.