ResearchBib Share Your Research, Maximize Your Social Impacts
Sign for Notice Everyday Sign up >> Login

The Image Quality in Computer Tomography Using Curve-let Transform

Journal: International Journal of Computer Science and Mobile Computing - IJCSMC (Vol.3, No. 1)

Publication Date:

Authors : ;

Page : 345-354

Keywords : Computer Tomography (CT); denoising Filters; image quality; radiation dose; curve let transform; Independent Component Analysis;

Source : Downloadexternal Find it from : Google Scholarexternal


The purpose of the ct-image de-noising is an important research topic both in image processing and biomedical engineering. Independent component analysis (ica) is a statistical technique where the goal is to represent a set of random variables as a linear transformation of statistically independent component variables. The curve let transform as a multiscale transform has directional parameters occur at all scale, locations, and orientations. in this proposed a new model for ct medical image de-noising, which is using independent component analysis and curve let transform. By this approach could remove more noises and reserve more details, and the efficiency of our approach is better than traditional de-noising approaches.

Last modified: 2014-01-27 14:30:42