TY - GEN
T1 - Wavelet-based eigentransformation for face super-resolution
AU - Zhuo, Hui
AU - Lam, Kin Man
PY - 2010/11/9
Y1 - 2010/11/9
N2 - In this paper, we propose a new approach to human face hallucination based on eigentransformation. In our algorithm, a face image is decomposed into different frequency bands using wavelet transform, so that different approaches can be applied to the low-frequency and high-frequency contents for increasing the resolution. The interpolated LR images are decomposed by the forward wavelet transform, whereby the low-frequency content is simply interpolated, while the wavelet coefficients of the three high-frequency bands are used to estimate the corresponding ones of the HR image by using eigentransformation. The approximation coefficients are reconstructed directly based on the content of the interpolated LR image. The reconstructed image can be synthesized by the inverse wavelet transform with all the estimated coefficients.
AB - In this paper, we propose a new approach to human face hallucination based on eigentransformation. In our algorithm, a face image is decomposed into different frequency bands using wavelet transform, so that different approaches can be applied to the low-frequency and high-frequency contents for increasing the resolution. The interpolated LR images are decomposed by the forward wavelet transform, whereby the low-frequency content is simply interpolated, while the wavelet coefficients of the three high-frequency bands are used to estimate the corresponding ones of the HR image by using eigentransformation. The approximation coefficients are reconstructed directly based on the content of the interpolated LR image. The reconstructed image can be synthesized by the inverse wavelet transform with all the estimated coefficients.
KW - face hallucination
KW - Face super-resolution
KW - image magnification
KW - wavelet transform
UR - http://www.scopus.com/inward/record.url?scp=78049442942&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-15696-0_21
DO - 10.1007/978-3-642-15696-0_21
M3 - Conference article published in proceeding or book
SN - 3642156959
SN - 9783642156953
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 226
EP - 234
BT - Advances in Multimedia Information Processing, PCM 2010 - 11th Pacific Rim Conference on Multimedia, Proceedings
T2 - 11th Pacific Rim Conference on Multimedia, PCM 2010
Y2 - 21 September 2010 through 24 September 2010
ER -