Robust L1 PCA and Its Application in Image Denoising

Author(s)
Gao, Junbin
Kwan, Paul Hing
Guo, Yi
Publication Date
2007
Abstract
The so-called robust L1 PCA was introduced in our recent work [1] based on the L1 noise assumption. Due to the heavy tail characteristics of the L1 distribution, the proposed model has been proved much more robust against data outliers. In this paper, we further demonstrate how the learned robust L1 PCA model can be used to denoise image data.
Citation
Proceedings of MIPPR 2007: Automatic Target Recognition and Image Analysis and Multispectral Image Acquisition, v.6786 (67860T)
ISBN
9780819469502
Link
Publisher
International Society for Optical Engineering (SPIE)
Title
Robust L1 PCA and Its Application in Image Denoising
Type of document
Conference Publication
Entity Type
Publication

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