DocumentCode :
456428
Title :
Image denoising using Wavelets: A powerful tool to overcome some limitations in nuclear imaging
Author :
Nawrès, Khlifa ; Kamel, Hamrouni ; Noureddine, Ellouze
Author_Institution :
Lab. des Systemes et de Traitement du Signal, Ecole Nationale d´´Ingenieurs de Tunis
Volume :
1
fYear :
0
fDate :
0-0 0
Firstpage :
1114
Lastpage :
1118
Abstract :
In spite of their bad resolution, scintigraphic images are used as an indicator of the functionality of some organs. The drawbacks of this image modality are the bad contrast and resolution of images and the fluctuations due to the Poisson distribution. Instead of increasing the injected dose or increasing the duration exposure of the patient, we propose a method base on image processing to enhance the image quality and decrease fluctuations. The proposed method is based on the adaptive thresholding of the wavelet coefficients combined with the Fisz transform in low count level. Results are considered, by nuclear medicine specialists, interesting with respect to the image quality enhancement while contours and details preservation
Keywords :
Poisson distribution; image denoising; image enhancement; image resolution; medical image processing; radioisotope imaging; wavelet transforms; Fisz transform; Poisson distribution; adaptive thresholding; image denoising; image processing; image quality enhancement; image resolution; nuclear imaging; scintigraphic image; wavelet coefficient; wavelet transform; Cameras; Fluctuations; Image denoising; Image processing; Image quality; Image resolution; Noise reduction; Nuclear imaging; Nuclear medicine; Signal resolution;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information and Communication Technologies, 2006. ICTTA '06. 2nd
Conference_Location :
Damascus
Print_ISBN :
0-7803-9521-2
Type :
conf
DOI :
10.1109/ICTTA.2006.1684530
Filename :
1684530
Link To Document :
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