摘要
Abstract
In order to further improve the denoising performance of seal image , a method of the seal image denoising based on threshold function and total variation model is proposed . Firstly , the seal image with noise is decomposed through contourlet trans-form . Then adaptive total variation model is used as diffusion of low-frequency component , contourlet threshold function is acted on high-frequency component . Finally , the seal image is reconstructed by inverse contourlet transform . Experimental results show that the proposed method can effectively remove the mixed noise of Gaussian white noise and salt and pepper noise , increase the peak signal to noise ratio , remain the details and textures of images better compared with wavelet threshold method , wavelet diffusion method and contourlet threshold method .关键词
印章图像/图像去噪/Contourlet 变换/阈值函数/自适应全变差模型Key words
seal image/image denoising/Contourlet transform/threshold function/adaptive totel variation model分类
信息技术与安全科学
