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APPLIED MATHEMATICAL SCIENCES

ISSN 1312-885X (print)       ISSN 1314-7552 (online)


M. Hari Krishnan, R. Viswanathan
      A new concept of reduction of Gaussian noise in images based on fuzzy logic
      Appl. Math. Sci., Vol. 7, 2013, no. 9-12, 595-602
      https://doi.org/10.12988/ams.2013.13050

Copyright © 2013 M. Hari Krishnan and R. Viswanathan. This article is distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Cited by (5):

D. Saranya and V. Radha, A Brief Study in Noise and Filtering for Dermoscopic Images, International Journal of Advanced Research in Computer and Communication Engineering, 5 (2016), no. 4, [View at Publisher]

Himali R. Bonde and S. A. More, Medical image de-noising using Anisotropic Diffusion, International Journal of latest Research in Engineering and Technology, 1 (2015), no. 7, 22-28 [View at Publisher]

Anjali Ojha and Nirupama Tiwari, An Image Denoising Technique Using NAFSM with Evolutionary Algorithm, 2015 International Conference on. Computational Intelligence and Communication Networks (CICN), (2015) [CrossRef]

Torali Saikia and Kandarpa Kumar Sarma, Multilevel-DWT-Based Image Denoising Using Adaptive Neuro-Fuzzy Inference System, Chapter in Advances in Communication and Computing, Springer India, 2015, 93-102 [CrossRef]

Naveen R. Chanukotimath, Feroz Khan, Keerthi Prasad G., Imran Khan, Deepak D. J., Nasreen Taj M. B., Dvadasham (Dodeca) Edge Filter for Impulse Noise, Gaussian Noise, Quantum Noise Reduction in Images, COMPUSOFT, An International Journal of Advanced Computer Technology, 2 (2013), no. 7, 204-209 [View at Publisher]


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