An adaptive window mechanism for image smoothing

Authors:
Ardeshir Goshtasby;Martin Satter
Affiliations:
Department of Computer Science and Engineering, Wright State University, 3640 Colonel Glen Hwy, 303 Russ Engineering Center, Dayton, OH 45435, USA;PET Section, Kettering Medical Center, Kettering, OH 45429, USA
Venue:
Computer Vision and Image Understanding
Year:
2008

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Abstract

Image smoothing using adaptive windows whose shapes, sizes, and orientations vary with image structure is described. Window size is increased with decreasing gradient magnitude, and window shape and orientation are adjusted in such a way as to smooth most in the direction of least gradient. Rather than performing smoothing isotropically, smoothing is performed in preferred orientations to preserve region boundaries while reducing random noise within regions. Also, instead of performing smoothing uniformly, smoothing is performed more in homogeneous areas than in detailed areas. The proposed adaptive window mechanism is tested in the context of median, mean, and Gaussian filtering, and experimental results are presented using synthetic and real images and compared with a state-of-the-art method.