Combining an Alternating Sequential Filter (ASF) and Curvelet for Denoising Coronal MRI Images
Mohamed Hamdi · 2012
A special member of the emerging family of multiscale geometric transforms is the curvelet transform which was developed in the last few years in an attempt to overcome inherent limitations of traditional multistage representations such as wavelets. Mathematical is a set and lattice theoretic methodology for image analysis, which aims at quantitatively describing the geometrical structure of image objects. The a Coronal MRI images were denoised using both an alternating sequential filter and curvelet transform and results are presented in this paper.