DocumentCode
147291
Title
Retrevial of the original image by artificial neural network
Author
Sankaran, K. Sakthidasan ; Srinithya, G. ; Nagarajan, Vijay
Author_Institution
Electron. & Commun. Dept., Adhiparasakthi Eng. Coll., Melmaruvathur, India
fYear
2014
fDate
3-5 April 2014
Firstpage
1798
Lastpage
1802
Abstract
Restoration along with noise removal is a challenging task in image processing. The image quality is degraded because of the variety of noises. Such noises are removed during restoration in order to obtain the original image as possible. But the removal of noise itself is a major drawback since depicting the type of the noise and the amount of noise is the toughest task. There exist so many filtering and non-filtering techniques for removing the noise. But each of these techniques has several advantages and drawbacks. Filtering techniques involves various filters for restoration and the non filtering techniques are the various algorithms and the artificial neural network methodology used for the restoration. The proposed technique involves using the levenberg marquardt algorithm for restoration. The simulation results shows the usefulness of the proposed method.
Keywords
filtering theory; image denoising; image restoration; image retrieval; neural nets; Levenberg Marquardt algorithm; artificial neural network methodology; filtering technique; image processing; image quality; image restoration; noise removal; nonfiltering techniques; original image retrieval; Filtering; Image edge detection; Image restoration; Neurons; Noise; Prediction algorithms; Training; Artificial neural network; Edge preservation; Levenberg marquardt algorithm; Noise level; restoration;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications and Signal Processing (ICCSP), 2014 International Conference on
Conference_Location
Melmaruvathur
Print_ISBN
978-1-4799-3357-0
Type
conf
DOI
10.1109/ICCSP.2014.6950156
Filename
6950156
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