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Image Denoising Using Total Variation Model Guided by Steerable Filter

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  • Wenxue Zhang
  • Yongzhen Cao
  • Rongxin Zhang
  • Yuanquan Wang

Abstract

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.

Suggested Citation

  • Wenxue Zhang & Yongzhen Cao & Rongxin Zhang & Yuanquan Wang, 2014. "Image Denoising Using Total Variation Model Guided by Steerable Filter," Mathematical Problems in Engineering, Hindawi, vol. 2014, pages 1-11, January.
    • Handle: RePEc:hin:jnlmpe:423761
    DOI: 10.1155/2014/423761
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