Image-Processing Approach Based on Nonlinear Image-Decomposition-Reference-Cited by-同舟云学术

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Image-Processing Approach Based on Nonlinear Image-Decomposition

Published:2009 Issue:3 Volume:E92-A Page:696-707
ISSN:0916-8508
Container-title:IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
language:en
Short-container-title:IEICE Trans. Fundamentals

Author:

SAITO Takahiro¹,KOMATSU Takashi¹

Affiliation:

1. Department of Electronics and Informatics Frontiers, Faculty of Engineering, Kanagawa University

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Applied Mathematics,Electrical and Electronic Engineering,Computer Graphics and Computer-Aided Design,Signal Processing

Link

http://www.jstage.jst.go.jp/article/transfun/E92.A/3/E92.A_3_696/_pdf

Reference46 articles.

1. [1] W.K. Pratt, Digital image processing, John Wiley & Sons, 1978.

2. [2] I. Pitas and A.N. Venetsanopoulos, Nonlinear digital filters, Kluwer Academic Publishers, 1990.

3. [3] I. Pitas and A.N. Venetsanopoulos, “Order statistics in digital image processing, ” Proc. IEEE, vol.80, no.12, pp.1892-1919, 1992.

4. Nonlinear total variation based noise removal algorithms

5. [5] C.R. Vogel and M.E. Oman, “Iterative method for total variation denoising, ” SIAM J. Sci. Comput., vol.17, no.1, pp.227-238, 1996.

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