Identification of Generalized Semicausal Stochastic Image Models-Reference-Cited by-同舟云学术

Identification of Generalized Semicausal Stochastic Image Models

Published:2004-05-05 Issue:0 Volume:2004 Page:53-58
ISSN:2188-4730
Container-title:Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications
language:en
Short-container-title:Stochastic Systems Theory and its Applications (SSS)

Author:

Kunieda H.¹,Nogami T.¹,Sugimoto S.¹

Affiliation:

1. Department of Electrical and Electronic Engineering, Ritsumeikan University

Publisher

The Institute of Systems, Control and Information Engineers

Subject

General Medicine

Link

https://www.jstage.jst.go.jp/article/sss/2004/0/2004_53/_pdf

Reference6 articles.

1. [1] A. K. Jain and J. R. Jain. “Partial Differential Equations and Finite Difference Methods in Image Processing Part II: Image Restoration”, IEEE Trans. Autom. Control, vol. AC-23, no. 5, pp. 817-833, 1978.

2. [2] S. Sugimoto, “Application to Image Processing”, Chapter 2 in Stochastic Systems Theory IV. ed. Y. Sunahara, Asakura Shoten, Tokyo, (in Japanese), 1982.

3. [3] H. Mizutani and S. Sugimoto, “Algorithm of Two-Dimensional Image Identification and Restoration Based on an Extended Stochastic Semi-Causal Image Model”, Trans. IECE Japan, Part A, vol. J64-A, no. 11, pp. 932-939, (in Japanese), 1981.

4. [4] A. K. Jain, “An Operator Factorization Method for Restoration of Blurred Images”, IEEE Trans. Comput., vol. C-26, no.11, pp.1061-1071, Nov. 1977.

5. [5] D. Huang, N. Fujiyama, and S. Sugimoto, “Blind Image Identification and Restoration for Noisy Blurred Images Based on Discrete Sine Transform”, IEICE Trans. INF. & SYST., vol. E86-D, no. 4, pp. 727-735, Apr. 2003.