CAJ | 학술논문

针对指纹图像的特点，在分析了传统的软、硬阈值函数去噪原理的基础上，提出了一种新的小波阈值函数。新阈值函数克服了软、硬阈值函数存在的不足。通过选择不同的参数，可适应不同的图像。仿真实验表明，新阈值函数较传统阈值函数具有更好的视觉效果和更高的峰值信噪比（PSNR）。
침대지문도상적특점，재분석료전통적연、경역치함수거조원리적기출상，제출료일충신적소파역치함수。신역치함수극복료연、경역치함수존재적불족。통과선택불동적삼수，가괄응불동적도상。방진실험표명，신역치함수교전통역치함수구유경호적시각효과화경고적봉치신조비（PSNR）。
Focusing on the fingerprint’s features, a new wavelet threshold function based on the traditional soft and hard threshold function is presented. The new threshold function overcomes the weaknesses of soft and hard threshold func-tions. It can adapt to different images by selecting different parameters. Simulation results show that, compared with tradi-tional threshold function, the new threshold function has better visual effects and PSNR.