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ITS » Undergraduate Theses » Teknik Informatika
Posted by jono at 01/07/2009 10:08:16  •  7822 Views


IMPLEMENTASI IMAGE DENOISING MENGGUNAKAN ALGORITMA FRACTIONALORDER ANISOTROPIC DIFFUSION

FRACTIONAL-ORDER ANISOTROPIC DIFFUSION FOR IMAGE DENOISING

Author :
Wicaksono, Bayu 




ABSTRAK

Image denoising pada dasarnya merupakan proses untuk mereduksi noise semaksimal mungkin pada suatu citra terdegradasi. Terdapat banyak metode dalam image denoising. Kebanyakan penelitian sebelumnya bekerja pada model additive gaussian noise. Selanjutnya akan dikembangkan suatu algoritma denoising yang mampu mereduksi noise tersebut sebaik mungkin. Dalam Tugas Akhir ini metode Fractional-Order Anisotropic Diffusion digunakan untuk menghilangkan noise tersebut. Persamaan ini merupakan persamaan Euler-Lagrange dari fungsi biaya yang merupakan fungsi peningkat dari suatu nilai mutlak fractional derivative fungsi intensitas citra. Digunakan Discrete Fourier Transform untuk mengimplementasikan algoritma dan memberikan sebuah skema perulangan pada domain frekuensi. Kemudian untuk mengatasi permasalahan yang timbul akibat lompatan diskontinu dari inputan tepi citra periodik maka digunakanlah algoritma folded yakni dengan memperluas tepi citra secara simetris. Akhirnya ditampilkan bermacam hasil numerik dari proses menghilangkan noise citra. Percobaan menunjukkan bahwa Fractional-Order Anisoptropic Diffusion menghasilkan efek visual yang baik dan nilai SNR yang lebih baik.


ABSTRACT

The basic definition of image denoising is a process for removing noise from the images corrupted. There are a lot of methods to deal with image denoising. Many recent researches work based on additive gaussian noise model. Further we will develop a new denoising algorithm which will reduce that noise as well. In this research fractional-order anisotropic diffusion metode is used for noise removal. These equations are EulerLagrange equations of a cost functional which is an increasing function of the absolute value of the fractional derivative of the image intensity function. We use the Discrete Fourier Transform to implement the numerical algorithm and give an iterative scheme in the frequency domain. Then to overcome the problem from jump discontinuities edges of the periodic image input we use a folded algorithm by extending the image symmetrically about its borders. Finally we list various numerical results on denoising real images. Experiments show that the proposed fractional-order anisotropic diffusion equations yield good visual effects and better signal-to-noise ratio.



KeywordsAanisotropic diffusion, image smoothing, fractional-order partial differential equation, fractional-order difference, image denoising.
 
Subject:  Image processing
Contributor
  1. Rully Soelaiman,S.Kom.,M.Kom. Mediana Aryuni,S.Kom.,M.Kom.
Date Create: 01/07/2008
Type: Text
Format: pdf
Language: Indonesian
Identifier: ITS-Undergraduate-3100008032851
Collection ID: 3100008032851
Call Number: RSIf 006.42 Wic i


Source
DEPARTMENT OF INFORMATICS Faculty Of Information Technology,RSIf 006.42 Wic i,2008

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Copyright @2008 by ITS Library. This publication is protected by copyright and permission should be obtained from the ITS Library prior to any prohibited reproduction, storage in a retrievel system, or transmission in any form or by any means, electronic, mechanical, photocopying, recording, or likewise. For information regarding permission(s), write to ITS Library




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ITS-Undergraduate-3100008032851-4883.pdf




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