68
DAFTAR PUSTAKA
Aggarwal, M. et al. 2014. A Review of Denoising Filters in Image Restoration.
International Journal of Current Research and Academic Review.Vol 2(3) :
83-89.
Aggarwal, N.K., dan Mehta, R. 2014. Comparative Analysis of Median Filter and
Adaptive Filter for Impulse Noise - A Review. IJCA Proceedings on Recent
Advance in Wireless Communication and Artificial Intelligence
(RAWCAI-2014),pp. 29-34.
Aldridge, J. 1994.CCTV Operational Requirement Manual.PDSB Publication 17/94.
ISBN 1-85893-335-8.
Ambule, V., Ghute. M., Kamble, K., dan Katre, S. 2013. Adaptive Median Filter for
Image Enhancement. International Journal of Engineering Science and
Innovative Technology (IJESIT),Vol 2 (1) : 318-323.
Boateng et al. 2012. Improving the Effectiveness of the Median Filter. International
Journal of Electronics and Communication Engineering. ISSN 0974-2166
Volume 5, Number 1 (2012) : 85-97.
Bovik, A. 2005. Handbook of Image and Video Processing.Second Edition. Elsevier
Inc : Texas.
Burger, W., dan Burge, J.M. 2008. Digital Image Processing An Algorithmic
Introduction using Java.First Edition. Springer: New York.
69
Charde, Pallavi. 2013. A Review On Image Denoising Using Wavelet Transform And
Median Filter Over AWGN Channel. International Journal Of Technology
Enhancements And Emerging Engineering Research1 (4): 44-47.
Deisman, W. 2003. CCTV: Literature Review and Bibliography. University of Ottawa.
Febriani, A. 2014. Identifikasi Diabetic Retinopathy Melalui Citra Retina
Menggunakan Modified K-Nearest Neighbor. Skripsi. Universitas Sumatera
Utara.
Gerrard, et al. 2007.National CCTV Strategy. Crown : United Kingdom.
Gill, M., dan Spriggs, A. 2005. Assessing the impact of CCTV. Home Office
Research, Development and Statistics Directorate.Crown : England.
Ji, H., Liu. C., Shen. Z., dan Xu, Y. 2010. Robust video denoising using low rank
matrix completion. National University of Singapore.
Keval, H.U. 2009. Effective, Design, Configuration, and Use of Digital CCTV.Tesis.
University of College.
Mane, M.J., dan Chavan, M.S. 2013. Design and implementation of median filter for
image denoising.International Journal of Electrical and Electronic Engineering
and Telecomunications2(2): 42-48.
Manulang, A.T.S. Kompresi Citra DICOM MenggunakanHuffman Coding. Skripsi.
Universitas Sumatera Utara.
Munir, R. 2004.Pengolahan Citra Digital.Informatika : Bandung.
Pan, M.-S., Tang, J.-T., dan Yang, X.-L. 2011. An Adaptive Median Filter Algorithm
Based on B-spline Function.International Journal of Automation and
Computing8(1): 92-99.
70
Pu, I.M. 2006.Fundamental Data Compression. Elsevier.
Putra, D. 2010.Pengolahan Citra Digital. ANDI: Yogyakarta.
Rajesh, T., Karnan. M., dan Sivakumar, R. 2014. An Efficient Image Denoising
Technique for Various Noisy Images. International Journal Of Engineering
And Computer Science3 (3) : 5064-5066.
Sing, S., dan Prakash, N.R. 2014. Modified Adaptive Median Filter for Salt & Pepper
Noise. International Journal of Advance Research in Computer and
Communication Engineering3 (1) : 5067-5071.
Singh, P., dan Jain, L. 2013. A Study of Linear and Non-Linear Spatial Filters and
Wavelet Filters for Denoising Ultrasound Images. International Conference on
Sustainable Manufacturing and Operation Management (ISOM) 2013, pp.
344-350
Sutoyo, T. et al. 2009.Teori Pengolahan Citra Digital. ANDI : Yogyakarta.
Velaga, S., dan Kovvada, S. 2012. Efficient Techniques for Denoising of Highly
Corrupted Impulse Noise Images. International Journal of Soft Computing and
Engineering (IJSCE) 2 (4): 255-258.
Yolanda, A., dan Prayama, D. 2010. Kompresi Video Menggunakan Metode Fraktal
dengan Menggunakan MATLAB 7.0. Politeknik Negeri Padang.
Yu, W. et al. 2015. Research of Improved Adaptive Median Filter Algorithm.
Proceedings of the 2015 International Conference on Electrical and Information
Technologies for Rail Transportation,pp. 27-34.
Zettl, H. 2007. Video Basics 6. Wadsworth Cengage Learning. San Francisco State
University.
