Studying the influence of search rule and context shape in filtering impulse noise images with Markov chains
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Signal Processing
Link
http://link.springer.com/article/10.1007/s11760-017-1160-1/fulltext.html
Reference27 articles.
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2. Srinivasan, K.S., Ebenezer, D.: A new fast and efficient decision based algorithm for removal of high density impulse noise. IEEE Signal Process. Lett. 14(3), 189–192 (2007)
3. Hamza, A.B., Luque-Escamilla, P., Martínez-Aroza, J., Román-Roldán, R.: Removing noise and preserving details with relaxed median filters. J. Math. Imaging Vis. 11(2), 161–177 (1999)
4. Wang, Z., Zhang, D.: Progressive switching median filter for the removal of impulse noise from highly corrupted images. IEEE Trans. Circuits Syst. II Analog Dig. Signal Process. 46(1), 78–80 (1999)
5. Toh, K.K.V., Isa, N.A.M.: Noise adaptive fuzzy switching median filter for salt-and-pepper noise reduction. IEEE Signal Process. Lett. 17(3), 281–284 (2010)
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