基于四叉树复小波的自适应图像去噪

小波变换应用于图像去噪处理方面得到广泛的应用,但其自身也存在着一些缺点和不易控制因素,大大地限制了其图像去噪能力和应用的范围。而四叉树复小波变换很好地改善了这一缺点,具有较好的方向选择性和平移不变性,并且容易实现完全重构。本文通过对常见的图像去噪方法,对其原理进行解析,再讲解基于四叉树复小波的自适应图像去噪的优点和发展趋势,让大家对现代复小波自适应图像去噪有一个清晰的认识。

Adaptive Image Denoising Based on Quadtree Complex Wavelet

The wavelet transform has been widely used in image denoising,but there are also some shortcomings and difficult to control factors,which greatly limits its image denoising capabilities and range of applications.Quad-tree complex wavelet transform improves the shortcomings,and it has better direction selectivity and translational invariance,and it is easy to achieve perfect reconstruction.Through the analysis of the principle of common image denoising,this paper explains the advantages and development trends of adaptive image denoising based on the quad-tree complex wavelet,so that we have a clear understanding on modern complex wavelet adaptive image denoising.