A Survey on Filtering Techniques
Abstract
Keywords
Full Text:
PDFReferences
Wavelet domain image de-noising by thresholding and Wiener filtering.Kazubek, M. Signal Processing Letters, IEEE, Volume: 10, Issue: 11, Nov. 2003 265 Vol.3.
Wavelet Shrinkage and W.V.D.: A 10-minute Tour Donoho, D.L; (David L. Donoho's website).
Image De-noising using Wavelet Thresholding and Model Selection. Shi Zhong Image Processing, 2000, Proceedings,2000. International Conference on, Volume: 3, 10-13 Sept. 2000 Pages: 262.
Charles Boncelet (2005).”Image Noise Models”. in Alan C. Bovik. Handbook of Image and Video Processing.
Sedef Kent, Osman Nuri Oçan, and Tolga Ensari (2004). "Speckle Reduction of Synthetic Aperture Radar Images Using Wavelet Filtering". in astrium. EUSAR 2004 Proceedings, 5th European Conference on Synthetic Aperture Radar, May 25–27, 2004, Ulm, Germany.
James C. Church, Yixin Chen, and Stephen V. Rice Department of Computer and Information Science, University of Mississippi, “A Spatial Median Filter for Noise Removal in Digital Images”, IEEE, page(s): 618- 623, 2008.
Dimitri Van De Ville, Member, IEEE, Mike Nachtegael, Dietrich Van der Weken, Etienne E. Kerre,” Noise Reduction by Fuzzy Image Filtering”, IEEE Transactions on Fuzzy systems, Vol. 11, No. 4,pp 429-436, August 2003.
S. C. Chen, D. Q. Zhang. Robust image segmentation using FCM with spatial constraints based on new kernel-induced distance measure. IEEE Trans. on Systems Man Cybernet, Part B,2004, 34(4): 1907–1916.
S.Jayaraman, S.Esakkirajan and T. Veerakumar: Digital Image Processing, Tata McGraw Hill Education Private Limited, 2009.
Tom M´elange, Mike Nachtegael, Etienne E. Kerre, “A Fuzzy Filter for the Removal of Gaussian Noise in Colour Image Sequences”,pp 1474-1479 IFSA-EUSFLAT 2009.
Refbacks
- There are currently no refbacks.
This work is licensed under a Creative Commons Attribution 3.0 License.