Adaptive Real-Time Removal of Impulse Noise in Medical Images
Author:
Publisher
Springer Science and Business Media LLC
Subject
Health Information Management,Health Informatics,Information Systems,Medicine (miscellaneous)
Link
http://link.springer.com/article/10.1007/s10916-018-1074-7/fulltext.html
Reference22 articles.
1. Luo, W., Efficient removal of impulse noise from digital images. Consumer Electronics, IEEE Transactions on 52:523–527, 2006.
2. Ahmed, F., and Das, S., Removal of high-density salt-and-pepper noise in images with an iterative adaptive fuzzy filter using alpha-trimmed mean. IEEE Transactions on Fuzzy Systems 22:1352–1358, 2014.
3. Zhou, Z., Cognition and removal of impulse noise with uncertainty. IEEE Transactions on Image Processing 21:3157–3167, 2012.
4. Sree, P. S. J., Kumar, P., Siddavatam, R., and Verma, R., Salt-and-pepper noise removal by adaptive median-based lifting filter using second-generation wavelets. Signal, Image and Video Processing 7(1):111–118, 2013.
5. Veerakumar, T., Esakkirajan, S., and Vennila, I., Recursive cubic spline interpolation filter approach for the removal of high density salt-and-pepper noise. Signal, Image and Video Processing 8(1):159–168, 2014.
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