Robust L1 PCA and application in image denoising
Junbin Gao, Paul Kwan, Yi Guo · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2007
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.