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

By Shuo Huang and Suiren Wan

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

Topics: Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Computer Vision and Pattern Recognition
Publisher: 'Springer Science and Business Media LLC'
Year: 2020
DOI identifier: 10.1007/s11220-020-00281-8
OAI identifier: oai:arXiv.org:2001.00150

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