基于小波变换和脊波变换的自适应图像去噪算法OA北大核心CSCDCSTPCD
Adaptive image denoising method based on wavelet transform and ridgelet transform
为了克服单纯小波变换或脊波变换的不足,提出了基于小波变换和脊波变换的自适应去噪算法.实验结果表明,在处理点奇异性和线奇异性的图像时,该方法比单纯小波变换或脊波变换的阈值去噪算法更具优越性,在实际应用中更为有效.
In order to overcome the shortages of the wavelet and ridgelet transform, this paper proposed an adaptive image de-noising method based on wavelet transform and ridgelet transform. The experimental results show that,while processing point and line singularities in an image, this adaptive method has significantly superiority over the threshold denoising algorithm only based on the wavelet transform or ridgelet transform. This novel algorithm is mo…查看全部>>
李根强;黄永东;蒋肖
北方民族大学信息与计算科学学院,银川750021北方民族大学信息与计算科学学院,银川750021北方民族大学信息与计算科学学院,银川750021
信息技术与安全科学
脊波变换小波变换Radon变换阈值函数图像去噪
ridgelet transformwavelet transformRadon transformthreshold functionimage denoising
《计算机应用研究》 2012 (8)
高维小波和平衡多小波的构造及其应用
3192-3194,3
国家自然科学基金资助项目(10961001,61102008)
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