IMAGE RECOVERY USING DIFFU SION EQUATION EMBEDDED NEURAL NETWORK

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TORKAMANI AZAR F.

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Journal Paper

Paper Information

Journal: IRANIAN JOURNAL OF SCIENCE AND TECHNOLOGY TRANSACTION B- ENGINEERING Year:2001 | Volume:25 | Issue:B1 Page(s): 27-35

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Information Journal Paper

Title

IMAGE RECOVERY USING DIFFU SION EQUATION EMBEDDED NEURAL NETWORK

Author(s)

TORKAMANI AZAR F. | Issue Writer Certificate

Keywords

IMAGE RECOVERY

NEURAL NETWORK

NONLINEAR FILTERS

IMAGE SEGMENTATION

Abstract

Artificial NEURAL NETWORKs with their inherent parallelism have been shown to perform well in many image processing applications. In this paper, a new self-organizing approach for the recovery of gray level images degraded by additive noise based on embedding the diffusion equation in a NEURAL NETWORK (without using a priori knowledge about the image point spread function, noise or original image) is described which enhances and restores gray levels of degraded images and is for application in low-level processing. Two learning features have been proposed which would be effective in the practical implementation of such a network. The recovery procedure needs some parameter estimation such as different error goals. While the required computation is not excessive, the procedure does not require too many iterations and convergence is very fast. In addition, through the simulation the new network showed that it has superior ability to give a better quality result with a minimum of the sum of the squared error.

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APA: Copy

TORKAMANI AZAR, F.. (2001). IMAGE RECOVERY USING DIFFU SION EQUATION EMBEDDED NEURAL NETWORK. IRANIAN JOURNAL OF SCIENCE AND TECHNOLOGY TRANSACTION B- ENGINEERING, 25(B1), 27-35. SID. https://sid.ir/paper/527650/en

Vancouver: Copy

TORKAMANI AZAR F.. IMAGE RECOVERY USING DIFFU SION EQUATION EMBEDDED NEURAL NETWORK. IRANIAN JOURNAL OF SCIENCE AND TECHNOLOGY TRANSACTION B- ENGINEERING[Internet]. 2001;25(B1):27-35. Available from: https://sid.ir/paper/527650/en

IEEE: Copy

F. TORKAMANI AZAR, “IMAGE RECOVERY USING DIFFU SION EQUATION EMBEDDED NEURAL NETWORK,” IRANIAN JOURNAL OF SCIENCE AND TECHNOLOGY TRANSACTION B- ENGINEERING, vol. 25, no. B1, pp. 27–35, 2001, [Online]. Available: https://sid.ir/paper/527650/en

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