A Total Variation Denoising Method Based on Median Filter and Phase Consistency

TL;DR

This paper introduces the MPC-TV method, which enhances total variation denoising by integrating phase congruency and median filtering, effectively reducing speckle noise while preserving image details and robustness against parameter variations.

Contribution

The paper proposes a novel MPC-TV denoising approach combining phase consistency and median filtering to improve noise suppression and robustness over traditional TV methods.

Findings

Effective in removing speckle noise

Improves robustness to iteration time variations

Preserves image details better than traditional methods

Abstract

The total variation method is widely used in image noise suppression. However, this method is easy to cause the loss of image details, and it is also sensitive to parameters such as iteration time. In this work, the total variation method has been modified using a diffusion rate adjuster based on the phase congruency and a fusion filter of median filter and phase consistency boundary, which is called the MPC-TV method. Experimental results indicate that MPC-TV method is effective in noise suppression, especially for the removing of speckle noise, and it can also improve the robustness of iteration time of TV method on noise with different variance.