自适应小波阈值函数的指纹图像去噪
Journal of University of Shanghai for Science and Technology（2014）
Abstract
针对指纹图像的特点,对传统小波阈值去噪方法中采用的软、硬阈值函数作了改进,并建立了多项式拟合模型,实现了参数α的自适应选取.仿真实验表明,该模型去噪效果优于软、硬阈值函数,且与最优α值去噪图像的峰值信噪比的相对误差在1％以内,对噪声强度的变化具有较强的自适应性.
MoreKey words
fingerprint image,threshold function,data fitting,peak signal to noise ratio (PSNR)
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