CAJ | 학술논문

为了提高小波阈值去噪算法中的软阈值和硬阈值以及已有改进阈值函数存在的不足，提出了新的分层阈值函数的方法。该算法首先对噪声图像进行分解，从而得出小波系数。然后用改进的阈值函数对高频部分系数进行分层阈值处理。最后根据所得估计的小波系数在小波基的条件下，对图像进行重构，得到去噪后图像。该阈值函数具有优良的数学特性，通过对医学图像仿真实验结果表明，该算法去噪的效果无论是在视觉效果上，还是在均方差和信噪比性能分析上均优于常用的阈值函数，所以该算法在解决实际去噪问题中值得推广与应用。
위료제고소파역치거조산법중적연역치화경역치이급이유개진역치함수존재적불족，제출료신적분층역치함수적방법。해산법수선대조성도상진행분해，종이득출소파계수。연후용개진적역치함수대고빈부분계수진행분층역치처리。최후근거소득고계적소파계수재소파기적조건하，대도상진행중구，득도거조후도상。해역치함수구유우량적수학특성，통과대의학도상방진실험결과표명，해산법거조적효과무론시재시각효과상，환시재균방차화신조비성능분석상균우우상용적역치함수，소이해산법재해결실제거조문제중치득추엄여응용。
In order to improve some shortcoming in the soft threshold and hard threshold and low threshold functions have improved of wavelet threshold denoising, the authors propose a new hierarchical denoising threshold. Firstly, the method decomposes the noise image. Thus it is concluded that wavelet coefficients. Secondly, the wavelet coefficient by using an improved threshold function was carried out on the high-frequency part of the threshold processing. Finally, according to the estimation in the wavelet base conditions, and to rebuild image, this method gets the denoised image. The method has excellent mathematical characteristics, through the medical image simulation results indicate that the de-noising method effect both in the visual effects. Or in the MSE and SNR performance analysis is better than above mentioned denoising methods. So the algorithm in solving the problem of actual denoising is worthy of popularization and application.