【摘要】 提出了一种基于Curvelet变换的图像去噪方法。我们改进了Starck等所提出的Curvelet变换,去除了“环绕”现象,并将硬阈值去噪法与基于子带相关的图像去噪法相结合,在去除噪声的同时对图像的边缘特征予以保护。实验结果表明,用该方法去噪后的图像PSNR值更高,视觉效果也更好。更多还原

【Abstract】 An image denosing algorithm using Curvelet transform is proposed. We not only adopted an improved Curvelet transform free of 搘arp-around?artifacts, but also combined wavelet thresholding with edge preserving approach to retain the sharpness of the images. Experiments show that our method yields denoised images with higher PSNR value and better visual quality. Key words: image processing; image denoising; Curvelet transform更多还原