CAJ | 학술논문

提出了一种基于非下采样Contourlet变换的自适应图像去噪方法.首先对噪声图像进行非下采样Contourlet变换,得到各个尺度各个方向子带的系数,再根据该系数的能量自适应地调整去噪阈值.实验表明,与Contourlet多尺度阈值去噪、Contourlet自适应阈值去噪相比,该方法在保留图像边缘细节的同时,能提高图像的PSNR值,减少了Gibbs现象.
제출료일충기우비하채양Contourlet변환적자괄응도상거조방법.수선대조성도상진행비하채양Contourlet변환,득도각개척도각개방향자대적계수,재근거해계수적능량자괄응지조정거조역치.실험표명,여Contourlet다척도역치거조、Contourlet자괄응역치거조상비,해방법재보류도상변연세절적동시,능제고도상적PSNR치,감소료Gibbs현상.
A new adaptive method of image de-noising based on NonSubsampled Contourlet Transform(NSCT) is presented.Firstly, the noisy image is decomposed into a set of multiscale and multidirectional frequency subbands by NSCT.and then the threshold is adapted automatically according to the energy of subband coefficients.Compared with the multi-scale threshold using contourlet transform and using adaptive threshold based on contourlet transform,the simulation results show that the performance of this method is superior in PSNR, meanwhile it can maintain the image edge and reduce the Cibbs phenomena.