ridgelets

基本解釋

Is Ridgelet Transform Better than Wavelet Transform in SAR and Optical Image Fusion?
基于脊波變換的SAR與可見光圖像融合研究?
Abstract A method for edge detection based on adaptive ridgelet transform was proposed.
摘要通過分析現(xiàn)有的一些方法，提出了一種基于自適應(yīng)脊波變換的邊緣檢測方法。
Each detail image is first denoised with ridgelet threshold method, and then decomposed with wavelet.
對細(xì)節(jié)圖像進(jìn)行脊波閾值去噪處理，然后再進(jìn)行單層小波分解。
On the other hand, it has more flexible structure, rapider processing speed, greater tolerance and robustness than the fixed ridgelet transform.
相對固定的脊波變換它具有更靈活的結(jié)構(gòu)、快速并行的處理速度以及強(qiáng)容錯(cuò)性和魯棒性。
Numerical results show that ridgelet transform is more effective than the wavelet transform in approximating and denoising images with straight edges.
實(shí)驗(yàn)結(jié)果說明，脊波在對具有直線邊緣的圖像逼近和去噪時(shí)的確比小波有效。