一种基于小波系数相关性的图像降噪方法
A Denoising Method for Image Data Based on the Relativity of the Wavelet Coefficient
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摘要: 在利用正交小波对图像进行分解的基础上,提出了一种考虑不同尺度子分量的小波系数之间是相互关联的系数概率密度函数模型,而不同尺度的系数的选择依赖于其父层系数的大小,从而保证在消除噪声的同时保留图像的边缘信息,然后再对图像进行重构。实验证明,该方法取得了较好的降噪效果。Abstract: The paper focuses on modeling the wavelet coefficients for denoising based on the relativity of the different scale coefficients, so as to eliminate the noise in the images. The experimentation, which denoises the Lenna and satellite images added the noise, shows that the method can significantly improve the noising image.
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