【摘要】 曲线波变换是一种多尺度变换,对于具有光滑曲线奇异性的目标函数,曲线波提供了稳定的、高效的和近于最优的表示.在第二代曲线波的基础上,利用曲线波分解中不同尺度的系数也具有相同的特点,提出了基于第二代曲波的系数乘积去噪算法.实验结果表明,提出的算法明显优于小波图像去噪方法,也优于曲线波的阈值方法.更多还原

【Abstract】 Curvelet is a kind of multi-scale transform,it provides a expression of stability,efficient and optimal,for target function with smooth-curve-singularity.A coefficients product image denoising method based on second generation curvelet is proposed,using coefficients of decomposition has the same characteristics in different scales,based on second generation curvelet.The result shows that the algorithm achieves better denoising than wavelet transform and simple thresholding methods.更多还原