摘要
结合曲波变换与TV两种去噪模型的优点,提出了基于曲波变换与TV模型的去噪方法,用曲波变换的高频系数来检测图像边缘,引入边缘检测函数来引导TV模型的扩散,新模型不仅具有较强的去噪能力,同时图像的边缘信息得到很好的保护.采用峰值信噪比对去噪结果进行客观评价,实验结果表明,新模型的去噪效果明显优于曲波变换阈值法及TV模型.
Combining with the advantages of curvelet transform and TV model, proposes a denoising method based on curvelet transform and TV model, which detects the edges of the image with the high-frequency coefficients of curvelet transform, introduces the edge detecting function to guide the TV model diffusion, the new model Can not only remove noise, but protect the edges of the image, use peak signal-to-noise ratio to evaluate the denoising results, the experimental results show that the denoising effect of the new model is significantly better than that of the curvelet transform threshold method and TV model.
出处
《微电子学与计算机》
CSCD
北大核心
2013年第12期61-63,68,共4页
Microelectronics & Computer
