DocumentCode :
3514806
Title :
Image denoising using a block-median pyramid
Author :
Melnik, Vladimir ; Shmulevich, Ilya ; Egiazarian, Karen ; Astola, Jaakko
Author_Institution :
Signal Process. Lab., Tampere Univ. of Technol., Finland
Volume :
4
fYear :
1999
fDate :
1999
Firstpage :
162
Abstract :
A block-median pyramidal transform, based on the median operation over non-overlapping blocks and linear Lagrange interpolation, is considered for image denoising. In addition to the soft and hard thresholding schemes, other techniques are employed. Firstly, the partial cycle-spinning algorithm is used to achieve near translation invariance. Secondly, local adaptation in the transform domain is used for adjustment of parameters in accordance with spatial behavior of the image
Keywords :
image processing; interference suppression; interpolation; transforms; block-median pyramid; block-median pyramidal transform; image denoising; linear Lagrange interpolation; local adaptation; median operation; near translation invariance; non-overlapping blocks; parameter adjustment; partial cycle-spinning algorithm; spatial image behavior; thresholding schemes; transform domain; Ear; Image denoising; Image processing; Image reconstruction; Interpolation; Laboratories; Noise reduction; Signal processing; Signal resolution; Spatial resolution;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 1999. ICIP 99. Proceedings. 1999 International Conference on
Conference_Location :
Kobe
Print_ISBN :
0-7803-5467-2
Type :
conf
DOI :
10.1109/ICIP.1999.819570
Filename :
819570
Link To Document :
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