Table of Contents Author Guidelines Submit a Manuscript
Mathematical Problems in Engineering
Volume 2014, Article ID 423761, 11 pages
Research Article

Image Denoising Using Total Variation Model Guided by Steerable Filter

1Radiation Oncology Department, Tianjin Medical University General Hospital, Tianjin 300054, China
2School of Computer and Communication Engineering, Tianjin University of Technology, Tianjin 300094, China

Received 7 October 2013; Accepted 8 December 2013; Published 5 January 2014

Academic Editor: Chung-Hao Chen

Copyright © 2014 Wenxue Zhang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


We propose an adaptive total variation (TV) model by introducing the steerable filter into the TV-based diffusion process for image filtering. The local energy measured by the steerable filter can effectively characterize the object edges and ramp regions and guide the TV-based diffusion process so that the new model behaves like the TV model at edges and leads to linear diffusion in flat and ramp regions. This way, the proposed model can provide a better image processing tool which enables noise removal, edge-preserving, and staircase suppression.