TY - GEN
T1 - A learning approach for single-frame face super-resolution
AU - He, Yu
AU - Yap, Kim Hui
AU - Chau, Lap Pui
PY - 2009/5
Y1 - 2009/5
N2 - This paper presents a new learning approach for single-frame face super-resolution (SR). The aim of face SR is to estimate the missing high-resolution (HR) information from a single low-resolution (LR) face image by learning from training samples in the database. A commonly encountered issue in conventional face SR methods is that when the given LR image is a new face significantly different from those in the database, the quality of the reconstructed HR face is usually unsatisfactory. To alleviate this difficulty, we develop a new method to perform face SR based on principal component analysis (PCA) and locally linear embedding (LLE). The reconstructed HR face is able to preserve standard facial features and detailed local information through a residue prediction method using manifold learning. Experimental results show that the proposed method is effective in performing single-frame face SR.
AB - This paper presents a new learning approach for single-frame face super-resolution (SR). The aim of face SR is to estimate the missing high-resolution (HR) information from a single low-resolution (LR) face image by learning from training samples in the database. A commonly encountered issue in conventional face SR methods is that when the given LR image is a new face significantly different from those in the database, the quality of the reconstructed HR face is usually unsatisfactory. To alleviate this difficulty, we develop a new method to perform face SR based on principal component analysis (PCA) and locally linear embedding (LLE). The reconstructed HR face is able to preserve standard facial features and detailed local information through a residue prediction method using manifold learning. Experimental results show that the proposed method is effective in performing single-frame face SR.
KW - Face image super-resolution
KW - Locally linear embedding
KW - Principal component analysis
UR - http://www.scopus.com/inward/record.url?scp=70350168507&partnerID=8YFLogxK
U2 - 10.1109/ISCAS.2009.5117862
DO - 10.1109/ISCAS.2009.5117862
M3 - Conference article published in proceeding or book
AN - SCOPUS:70350168507
SN - 9781424438280
T3 - Proceedings - IEEE International Symposium on Circuits and Systems
SP - 770
EP - 773
BT - 2009 IEEE International Symposium on Circuits and Systems, ISCAS 2009
T2 - 2009 IEEE International Symposium on Circuits and Systems, ISCAS 2009
Y2 - 24 May 2009 through 27 May 2009
ER -