Title :
Image denoise based on Curvelet transform
Author :
Qiaoling Yi ; Yu Weng ; Jiayong He
Author_Institution :
Dept. of Comput. Eng., Zhongshan Polytecnic, Zhongshan, China
Abstract :
The Curvelet transform is a new transform for image processing which has being developed for last years. It makes the line as a basic cell for transforming, so it is able to represent smooth and edge parts of image with sparsity. Curvelet transform can provide stable, efficient, and near-optimal representation of otherwise smooth objects discontinuities along smooth curves. It is a multiscale transform which is more adapt to the image processing after wavelet transform.
Keywords :
curvelet transforms; image denoising; curvelet transform; image denoising; image processing; multiscale transform; objects discontinuities; Educational institutions; Frequency locked loops; Signal to noise ratio; Surface waves; Curvelets transform; Radon Transform; Ridgelet; filtering; thresholding;
Conference_Titel :
Electronics, Computer and Applications, 2014 IEEE Workshop on
Conference_Location :
Ottawa, ON
DOI :
10.1109/IWECA.2014.6845644
