Image restoration by means of statistical soft morphology

Author

Regazzoni, C.S. ; Stringa, E. ; Venetsanopoulos, AN

Author_Institution

Dept. of Biophys. & Electron. Eng., Genoa Univ., Italy

Volume

1

fYear

1997

fDate

2-4 Jul 1997

Firstpage

307

Abstract

Statistical soft morphology is an extension of soft morphology which is based on a probabilistic model. It was first proposed for 1D signal processing. In this paper the 2D case is considered which can be useful to solve image processing restoration problems. Statistical soft morphological operators provide good result in cleaning noise with both morphological and statistical structures, such as speckle noise. Results are presented which show that the proposed method is suitable for processing remote sensing images

Keywords

image restoration; mathematical morphology; probability; radar imaging; remote sensing by radar; speckle; statistical analysis; synthetic aperture radar; 2D signal processing; SAR image; image processing; image restoration; morphological operators; probabilistic model; remote sensing images; speckle noise; statistical soft morphology; Cleaning; Image processing; Image restoration; Mathematical model; Morphology; Noise shaping; Samarium; Solid modeling; Stochastic resonance; Stochastic systems;

fLanguage

English

Publisher

ieee

Conference_Titel

Digital Signal Processing Proceedings, 1997. DSP 97., 1997 13th International Conference on

Conference_Location

Santorini

Print_ISBN

0-7803-4137-6

Type

conf

DOI

10.1109/ICDSP.1997.628080

Filename

628080