CAJ | 학술논문

从小波变换和隐马尔可夫模型的理论出发，实现基于小波域隐马尔可夫树模型的图像去噪算法设计，并对具有乘性噪声的SAR图像进行去噪处理。结果表明，与传统的各种去噪方法相比，该算法对SAR图像的去噪效果非常显著，在去噪的同时能够很好地保持原图像的纹理细节特征，具有一定的应用价值。
종소파변환화은마이가부모형적이론출발，실현기우소파역은마이가부수모형적도상거조산법설계，병대구유승성조성적SAR도상진행거조처리。결과표명，여전통적각충거조방법상비，해산법대SAR도상적거조효과비상현저，재거조적동시능구흔호지보지원도상적문리세절특정，구유일정적응용개치。
Based on the theory of wavelet transform and hidden Markov model , this article presents an image denosing algorithm ,which achieved by hidden Markov tree model in wavelet domain , and apply on SAR image denoising with multiplicative noise .The resultsshow that, compared to traditional denoising method , the new algorithm present by this article have significant effect to denosingby keeping the original image texture detail.