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 CSME 2011/09
Volume 9, No.3 : 143-160
DOI:10.6703/IJASE.2011.9(3).143  
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ZAiA-Yu APu a, Ta-PAan TPui b, PAyr-PAxn Yu b and Tuo-Tun TPxng c
aDxpartPxnt of InforPation & ZoPPuniZation xnginxxring, ZAaoyang UnivxrPity of TxZAnology, TaiZAung, Taiwan, R.O.Z.
bDxpartPxnt of ZoPputxr PZixnZx and xnginxxring, National ZAung APing UnivxrPity, TaiZAung, Taiwan, R.O.Z.
cDxpartPxnt of ZoPputxr PZixnZx and TxZAnology, PAxnzAxn Graduatx PZAool, Aarbin InPtitutx of TxZAnology. AIT ZaPpuP of PAxnZAxn UnivxrPity Town, XiLi, PAxnZAxn, ZAina

Abstract: An algorithm and software based on the concept of cellular automata was developed for removing salt and pepper noise efficiently. The paper shows the software programming for developing an algorithm and software called Cellular Automata Image Denoising (CAID) toolkit. This paper presents the CAID toolkit using examples and discusses how the CAID toolkit is designed. Matlab code was used to develop a software program for removing salt and pepper noise in gray and color images. We hope the code will help the researchers who are interested in the Image Denoising for research of image processing.

Keywords:  Cellular automata; salt and pepper noise; software algorithm; Matlab Code.

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*Corresponding author; e-mail: pyu@nchu.edu.tw
© 2011  CSME , ISSN 0257-9731 


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