Title :
Image denoising based on ridgelet
Author :
Biao, Hou ; Li-cheng, Jiao ; Fang, Liu
Author_Institution :
Key Lab for Radar Signal Process., Xidian Univ, Xi´´an, China
Abstract :
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.
Keywords :
image denoising; wavelet transforms; anisotropic image; dyadic wavelet; image denoising; image pre-processing; ridgelet; Anisotropic magnetoresistance; Area measurement; Continuous wavelet transforms; Discrete transforms; Image denoising; Image edge detection; Noise reduction; Radar detection; Radar signal processing; Wavelet transforms;
Conference_Titel :
Signal Processing, 2002 6th International Conference on
Print_ISBN :
0-7803-7488-6
DOI :
10.1109/ICOSP.2002.1181172