Title :
An efficient speckle removing algorithm based on new morphological operators
Author :
Kher, Alok ; Mitra, Sunanda
Author_Institution :
Dept. of Electr. Eng., Texas Tech. Univ., Lubbock, TX, USA
Abstract :
The present paper describes a morphology based technique to remove speckle noise. The commonly used technique of spatial averaging blurs the image. A morphology based technique used by some investigators tends to over smooth the images by removing significant amount of thin regions. The present technique preserves fine details of the image while reducing the speckle noise significantly. We have illustrated results on a synthetic aperture radar (SAR) image
Keywords :
image restoration; mathematical morphology; mathematical operators; radar imaging; speckle; synthetic aperture radar; algorithm; morphological operators; speckle noise removal; synthetic aperture radar image; Computer vision; Filters; Image analysis; Laboratories; Morphological operations; Morphology; Noise reduction; Pixel; Speckle; Synthetic aperture radar;
Conference_Titel :
Circuits and Systems, 1994., Proceedings of the 37th Midwest Symposium on
Conference_Location :
Lafayette, LA
Print_ISBN :
0-7803-2428-5
DOI :
10.1109/MWSCAS.1994.518947