Speckle reduction and structure enhancement by multichannel median boosted anisotropic diffusion

Authors:
Zhi Yang;Martin D. Fox
Affiliations:
Department of Electrical & Computer Engineering, University of Connecticut, Storrs, CT;Department of Electrical & Computer Engineering, University of Connecticut, Storrs, CT
Venue:
EURASIP Journal on Applied Signal Processing
Year:
2004

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Abstract

We propose a new approach to reduce speckle noise and enhance structures in speckle-corrupted images. It utilizes a median-anisotropic diffusion compound scheme. The median-filter-based reaction term acts as a guided energy source to boost the structures in the image being processed. In addition, it regularizes the diffusion equation to ensure the existence and uniqueness of a solution. We also introduce a decimation and back reconstruction scheme to further enhance the processing result. Before the iteration of the diffusion process, the image is decimated and a subpixel shifted image set is formed. This allows a multichannel parallel diffusion iteration, and more importantly, the speckle noise is broken into impulsive or salt-pepper noise, which is easy to remove by median filtering. The advantage of the proposed technique is clear when it is compared to other diffusion algorithms and the well-known adaptive weighted median filtering (AWMF) scheme in both simulation and real medical ultrasound images.