Abstract:
Piecewise linear (PWL) models are very attractive for image processing due to their simplicity and effectiveness. A new filtering architecture adopting parameterized PWL ...Show MoreMetadata
Abstract:
Piecewise linear (PWL) models are very attractive for image processing due to their simplicity and effectiveness. A new filtering architecture adopting parameterized PWL functions is presented. The proposed approach takes into different account the correlation between the central pixel of a moving window and its neighbors in two subwindows. As a result, the filtering errors can be reduced and a very accurate restoration of the image data can be achieved. The sensitivity to a change of the parameter settings is also investigated
Published in: 2004 IEEE International Workshop on Imaging Systems and Techniques (IST) (IEEE Cat. No.04EX896)
Date of Conference: 14-14 May 2004
Date Added to IEEE Xplore: 07 March 2005
Print ISBN:0-7803-8591-8