The curvelet transform based on finite ridgelet transform for image denoising

A digital implementation of curvelet transform is proposed which offers exact reconstruction and low redundancy (<16/3). We improved the finite ridgelet transform (FRIT) Minh N. Do and Martion Vetterli., (2003) by mains of frequency lapped orthogonal transform. Our curvelet transform uses FRIT as a central step and implements curvelet subbands with a combined wavelet filter bank. Despite the crudeness of our thresh-holding rule, the new strategy enjoys a competitive denoising capability and surprising visual performances shown by numerical experiments.