Title :
Gaussian noise elimination in colour images by vector-connected filters
Author :
Ortiz, F. ; Torres, F. ; Gil, P.
Author_Institution :
Dept. of Phys., Syst. Eng. & Signal Theor., Alicante Univ., Spain
Abstract :
This paper deals with the use of vector-connected filters for eliminating Gaussian noise in colour images. This class of morphological filters suppresses noise but preserves the contours of the objects. We impose a total order between pixels for morphological processing. Once the HSI space has been adapted, we employ it in the lexicographical order. As such, all of the morphological operations are vectorial. After having defined the vectorial geodesic operators, they are then employed to eliminate Gaussian noise.
Keywords :
Gaussian noise; differential geometry; filtering theory; image colour analysis; image denoising; Gaussian noise elimination; HSI space; colour images; morphological filters; noise suppression; vector-connected filters; vectorial geodesic operators; Color; Colored noise; Filters; Gas insulated transmission lines; Gaussian noise; Image processing; Lattices; Morphology; Noise reduction; Physics;
Conference_Titel :
Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on
Print_ISBN :
0-7695-2128-2
DOI :
10.1109/ICPR.2004.1333895