Title :
An efficient method for robust gradient estimation of RGB color images
Author :
Nezhadarya, Ehsan ; Ward, Rabab K.
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of British Columbia, Vancouver, BC, Canada
Abstract :
A new vector-wise scheme for the gradient estimation in noisy color images is proposed. In the color images, different types of noise may corrupt the image. To reduce the effect of noise in the gradient estimation, the distance weighted order statistic filter (DWOSF) is introduced, to be embedded in the gradient estimator. DWOSF is an order statistic filter in which the color outliers in a neighborhood are adaptively assigned smaller weights than the other pixels in that neighborhood. The simulation results show that the proposed method accurately estimates the true gradient vector in noisy RGB color images.
Keywords :
estimation theory; filtering theory; gradient methods; image colour analysis; image denoising; RGB color images; distance weighted order statistic filter; noise effect reduction; noisy color images; robust gradient estimation; Colored noise; Filters; Frequency estimation; Gaussian noise; Image color analysis; Image edge detection; Noise reduction; Noise robustness; Pattern recognition; Statistics; Color image processing; Edge detection; Gradient estimation; Vector order statistics;
Conference_Titel :
Image Processing (ICIP), 2009 16th IEEE International Conference on
Conference_Location :
Cairo
Print_ISBN :
978-1-4244-5653-6
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2009.5414335