The Curvelet transform based on Finite Ridgelet Transform for image denoising

摘要

A digital implementation of curvelet transform is proposed which offers exact reconstruction and low redundancy (< 16/3).We improved the finite ridgelet transform (FRIT) by means 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.