CAJ | 학술논문

为了有效恢复被高斯白噪声污染的图像,将双树复小波变换和自适应Wiener滤波结合起来,提出了一种双树复小波-Wiener滤波去噪算法.仿真结果表明,利用该算法去噪后恢复的图像主观质量和峰值信噪比比基于正交小波变换的门限法和Wiener滤波法都要好.
위료유효회복피고사백조성오염적도상,장쌍수복소파변환화자괄응Wiener려파결합기래,제출료일충쌍수복소파-Wiener려파거조산법.방진결과표명,이용해산법거조후회복적도상주관질량화봉치신조비비기우정교소파변환적문한법화Wiener려파법도요호.
In order to eliminate the Gauss white noise in the image, the dual-tree complex wavelet transform was combined with the adaptive Wiener filtering and formed the dual-tree complex wavelet - Wiener denoising algorithm. Simulation results show that this new algorithm yields better results, both visually and in terms of PSNR, than thresholding and Wiener filtering based on DWT.