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