Journal of Engineering and Applied Sciences
Year:
2019
Volume:
14
Issue:
24
Page No.
9529 - 9537
A Novel Technique for Mean Filtering Algorithms Based on Systolic Architecture
Authors :
AsmaaHameed Rasheed
References
Boncelet, C., 2000. Image Noise Models. In: Handbook of Image and Video Processing, Bovik, A.L. (Ed.). Academic Press, San Diego, California, USA., ISBN:0-12-119790-5, pp: 325-335.
Evans, D.J. and S.A. Amin, 1995. Systolic algorithms for digital image filtering. Parallel Comput., 21: 109-119.
CrossRef | Direct Link | Gonzalez, R.C. and R.E. Woods, 2007. Digital Image Processing 3rd Edn., Prentice Hall, New York, ISBN-13: 9780131687288.
Jain, A.K., 1989. Fundamentals of Digital Image Processing. Prentice-Hall, Upper Saddle River, New Jersey, USA., ISBN:9780133325782, Pages: 569.
Kumar, N.R. and J.U. Kumar, 2015. A spatial mean and median filter for noise removal in digital images. Intl. J. Adv. Res. Electr. Electron. Instrum. Eng., 4: 246-253.
CrossRef | Direct Link | Rakshit, S., A. Ghosh and B.U. Shankar, 2007. Fast Mean Filtering Technique (FMFT). Pattern Recogn., 40: 890-897.
CrossRef | Direct Link | Wan, C., 1996. Systolic algorithms and applications. Ph.D Thesis, Loughborough University, Loughborough, England, UK.
Zhang, P. and F. Li, 2014. A new adaptive weighted mean filter for removing salt-and-pepper noise. IEEE. Signal Process. Lett., 21: 1280-1283.
CrossRef | Direct Link |