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Full Length Article
Journal of Intelligent Systems and Internet of Things
Volume 2 , Issue 1, PP: 26-32 , 2021 | Cite this article as | XML | Html |PDF

Title

Characterizing wavelet coefficients with decomposition for medical images

  Jabbar Abed Eleiwy 1 *

1  Applied Science Department, University of Technology, Baghdad, Iraq,
    (100310@uotechnology.edu.iq)


Doi   :   https://doi.org/10.54216/JISIoT.020103

Received: March 09, 2021 Accepted: July 20, 2021

Abstract :

In this paper, applications Discrete Laguerre Wavelet Transform were used where satisfactory results were obtained, where the efficiency of our proposed theory was proved, and the examples used will prove this. Three physical samples were selected that were compressed using the proposed wavelets, and good results were obtained that prove the efficiency of the method used. Three physical samples were selected that were compressed using the proposed wavelets, and good results were obtained that prove the efficiency of the method used.

Keywords :

Discrete Laguerre Wavelet Transform (DLWT) , Image Compression ,  Medical application , De-noise medical image , bit per pixel

 

References :

1.      Andreas Savakis and Richard Carbone, 'Discrete Wavelet Transform Core for Image Processing Application' SPIE, Vol 5671, 142-151, (2005) .

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4.      B. Satyanarayan, Asma Abdulelah 'Mathematical Aspects of Laguerre Wavelets Transformation', Annals of Pure and Applied Mathematics, (APAM), VOL(16), NO(1), PP(53-61), (2018).                        

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14.    Prabhjotot kour, 'Image Processing Using Discrete Wavelet Transform', International Journal of Electronics and Communication (IIJEC), VOL(3), NO(1), (2015).   

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16.     Trevor.C. Bailey, 'Signal Detection in Underwater Sound Using Wavelets', Journal of the  Amerirican Statistican Statistical Association, Vol. 93, No. 441. 73-83. (1998). 

 

 


Cite this Article as :
Style #
MLA Jabbar Abed Eleiwy. "Characterizing wavelet coefficients with decomposition for medical images." Journal of Intelligent Systems and Internet of Things, Vol. 2, No. 1, 2021 ,PP. 26-32 (Doi   :  https://doi.org/10.54216/JISIoT.020103)
APA Jabbar Abed Eleiwy. (2021). Characterizing wavelet coefficients with decomposition for medical images. Journal of Journal of Intelligent Systems and Internet of Things, 2 ( 1 ), 26-32 (Doi   :  https://doi.org/10.54216/JISIoT.020103)
Chicago Jabbar Abed Eleiwy. "Characterizing wavelet coefficients with decomposition for medical images." Journal of Journal of Intelligent Systems and Internet of Things, 2 no. 1 (2021): 26-32 (Doi   :  https://doi.org/10.54216/JISIoT.020103)
Harvard Jabbar Abed Eleiwy. (2021). Characterizing wavelet coefficients with decomposition for medical images. Journal of Journal of Intelligent Systems and Internet of Things, 2 ( 1 ), 26-32 (Doi   :  https://doi.org/10.54216/JISIoT.020103)
Vancouver Jabbar Abed Eleiwy. Characterizing wavelet coefficients with decomposition for medical images. Journal of Journal of Intelligent Systems and Internet of Things, (2021); 2 ( 1 ): 26-32 (Doi   :  https://doi.org/10.54216/JISIoT.020103)
IEEE Jabbar Abed Eleiwy, Characterizing wavelet coefficients with decomposition for medical images, Journal of Journal of Intelligent Systems and Internet of Things, Vol. 2 , No. 1 , (2021) : 26-32 (Doi   :  https://doi.org/10.54216/JISIoT.020103)