ridgelet

基本解释

Is Ridgelet Transform Better than Wavelet Transform in SAR and Optical Image Fusion?
基于脊波变换的SAR与可见光图像融合研究?
Abstract A method for edge detection based on adaptive ridgelet transform was proposed.
摘要通过分析现有的一些方法，提出了一种基于自适应脊波变换的边缘检测方法。
Each detail image is first denoised with ridgelet threshold method, and then decomposed with wavelet.
对细节图像进行脊波阈值去噪处理，然后再进行单层小波分解。
On the other hand, it has more flexible structure, rapider processing speed, greater tolerance and robustness than the fixed ridgelet transform.
相对固定的脊波变换它具有更灵活的结构、快速并行的处理速度以及强容错性和鲁棒性。
Numerical results show that ridgelet transform is more effective than the wavelet transform in approximating and denoising images with straight edges.
实验结果说明，脊波在对具有直线边缘的图像逼近和去噪时的确比小波有效。