Title :
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
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;
Conference_Titel :
Digital Signal Processing Proceedings, 1997. DSP 97., 1997 13th International Conference on
Conference_Location :
Santorini
Print_ISBN :
0-7803-4137-6
DOI :
10.1109/ICDSP.1997.628080
