Removal of High Density Impulse Noise Using Adaptive Pulse Coupled Neural Network (APCNN) with Improved Alpha Guided Gray Wolf Optimization (IAgGWO) Technique in Transform Domain-Reference-Cited by-同舟云学术

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Removal of High Density Impulse Noise Using Adaptive Pulse Coupled Neural Network (APCNN) with Improved Alpha Guided Gray Wolf Optimization (IAgGWO) Technique in Transform Domain

Published:2021-11-15 Issue: Volume: Page:
ISSN:0929-6212
Container-title:Wireless Personal Communications
language:en
Short-container-title:Wireless Pers Commun

Author:

Raja J.,Moorthi K.,Pitchai R.

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Computer Science Applications

Link

https://link.springer.com/content/pdf/10.1007/s11277-021-09379-y.pdf

Reference22 articles.

1. Gonzalez, R. C., & Woods, R. E. (2006). Digital imaging processing (2nd ed., pp. 119–123). Publishing Houseof Electronics Industry.

2. Ioannidis, A., Kazakos, D., & Watson, D. D. (1984). Application of the median filtering on nuclear medicine scintigram images. In Proc. of the 7th Int. Conf. Pattern Recognition, pp. 33–36.

3. Ritenour, E. R., Nelson, T. R., & Raff, U. (1984). Application of the median filter to digital radio graphic images. In Proc.of the IEEE Int. Conf. Acoust. Speech, Signal Processing, pp. 23.1.1–23.1.4.

4. Pavlovic, G., & Tekalp, A. M. (1984) Restoration in the presence of multiplicative noise with application to scanned photographic images. In Proc.of the IEEE Int. Conf. Acoust, Speech, Signal Processing, vol. 4, pp. 1913–1916.

5. Zhang, X., & Feng, X. (2007). Anisotropic diffusion based on Wiener filtering in the wavelet domain. Electronical Technology, 6, 47–50.

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