X-ray bio-image denoising using directional-weighted-mean filtering and block matching approach
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An X-ray bio-image might suffer interference from salt-and-pepper (SAP) noise during transmission or capture, thus reducing image quality. This paper proposes a three-stage method to cope with this problem. A directional-weighted-mean (DWM) filter is used to remove the corruption noise in the first stage. In the second stage, extreme pixel (255 or 0 for an 8-bit gray level bio-image) confirmation is performed to restore the X-ray bio-images. In the final stage, block matching identifies blocks with similar textures in a local region. The center pixels of these similar blocks are then averaged to refine the gray value of the restored pixel, thus allowing improvement to the quality of the restored X-ray image through consideration of the texture properties in neighbor pixels over a large size window. Experimental results show that the proposed approach can effectively remove background noise from a SAP noise corrupted bio-image for various noise densities. The reconstructed bio-image does not incur blurring even under heavy noise corruption.
KeywordsDirectional-weighted-mean filter X-ray bio-image denoising Block matching Post-processing Salt-and-pepper noise
The authors wish to thank the Ministry of Science and Technology of the Republic of China for financially supporting this research under Contract Grants nos. MOST 105-2410-H-025-015-MY2, MOST 104-2221-E-468-007 and MOST 106-2410-H-468-009. The authors also gratefully acknowledges the Editor and anonymous reviewers for their valuable comments and constructive suggestions.
- Ravi Teja KV, Shanmukha Rao N, Santhosh Kumar P (2017) Distance based algorithm for removal of salt and pepper noise. In: Proceedings of the IEEE International conference on circuit, power and computing technologiesGoogle Scholar