DocumentCode :
607758
Title :
Image restoration by adaptive wavelet thresholding method
Author :
Erdem, M.C. ; Telatar, Z. ; Dogan, M.
Author_Institution :
Elektrik ve Elektron. Muhendisligi Bolumu, Ankara Univ., Ankara, Turkey
fYear :
2013
fDate :
24-26 April 2013
Firstpage :
1
Lastpage :
4
Abstract :
Image enhancement and restoration methods are essential for many fields like medical imaging and radar imaging systems. In literature, there are many studies and different approaches to image enhancement and restoration methods. In this paper, some noise models are studied and the performances of Wiener filter, median filter, mean filter and a proposed method based on adaptive wavelet thresholding are compared on images degraded by mentioned noise models.
Keywords :
Wiener filters; image enhancement; image restoration; noise; Wiener filter; adaptive wavelet thresholding method; image enhancement; image restoration; mean filter; median filter; medical imaging; noise models; radar imaging systems; Adaptation models; Hidden Markov models; Image restoration; PSNR; Wiener filters; adaptive wavelet thresholding; image enhancement; image restoration; noise models;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing and Communications Applications Conference (SIU), 2013 21st
Conference_Location :
Haspolat
Print_ISBN :
978-1-4673-5562-9
Electronic_ISBN :
978-1-4673-5561-2
Type :
conf
DOI :
10.1109/SIU.2013.6531419
Filename :
6531419
Link To Document :
بازگشت