Two novel image filters based on canonical piecewise linear networks

Authors:
Xusheng Sun;Shuning Wang;Yuehong Wang
Affiliations:
Department of Automation, Tsinghua University, Beijing, China;Department of Automation, Tsinghua University, Beijing, China;Department of Automation, Tsinghua University, Beijing, China
Venue:
ISNN'05 Proceedings of the Second international conference on Advances in neural networks - Volume Part II
Year:
2005

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Abstract

Although many filters have been proposed,image denoising is still worth further studying. In this paper, two novel image filters based on canonical piecewise linear networks are presented. They have the advantages of both linear filters and nonlinear filters. The former filter removes noises through the estimation of local structure, while the latter one accomplishes that by approximating the mapping from degraded images to clear images. They can remove noises effectively and preserve the details well. Finally, simulation results are shown to support their effectiveness.