Image denoising based on ridgelet
Hou Biao, Jiao Li-cheng, Liu Zhi Fang · 2002
Image denoising is an important step in the pre-processing of images; the noisy images bears different characteristics. For an anisotropic image, wavelets lose their effects on singularity detection because discontinuities across edges are spatially distributed. Based on the idea of ridgelet, this paper proposes a new denoising method of anisotropic noisy images combining the dyadic wavelet; good results are thus obtained.