How to convert PCA matlab code to 2DPCA code

Hi. may I know how to restore blurred image using pca matlab code

Abstract

Face recognition is taken into account to be some of the dependable biometric, when safety points are taken into concern. For this, function extraction turns into a crucial drawback. Different strategies are used for extraction of facial function that are broadly categorized into linear and nonlinear subspaces. Among the linear strategies are Linear Discriminant Analysis (LDA), Bayesian Methods (MAP and ML), Discriminative Common Vectors (DCV), Independent Component Analysis (ICA), Tensor faces Multi-Linear Singular Value Decomposition (SVD), Two Dimensional PCA (2DPCA), Two Dimensional LDA (2D-LDA) and so on., however Principal Component Analysis (PCA) is taken into account to be one the basic technique on this subject. Based on this a quick comparability of PCA household is drawn, of which PCA, Kernel PCA (KPCA), 2DPCA and Two Dimensional Kernel (2DKPCA) are of main concern. Based on literature evaluate recognition efficiency of PCA household is analyzed utilizing the databases named YALE, YALE-S, ORL and CMU. Concluding remarks about testing standards set by totally different authors as listed in literature reveals that R collection of PCA produced higher outcomes as in comparison with easy PCA and 2DPCA on the aforementioned datasets. - See more at: http://matlab-recognition-codeface-recognition-based-on-nonlinear-pca/#sthash.byqElxm9.dpuf