From Local Pixel Structure to Global Image Super-Resolution: A New Face Hallucination Framework

Abstract—We have developed a new face hallucination framework termed from local pixel structure to global image super-resolution (LPS-GIS). Based on the assumption that two similar face images should have similar local pixel structures, the new framework first uses the input low-resolution (LR) face image to search a face database for similar example high-resolution (HR) faces in order to learn the local pixel structures for the target HR face. It then uses the input LR face and the learned pixel structures as priors to estimate the target HR face. We present a three-step implementation procedure for the framework. Step 1 searches the database for K example faces that are the most similar to the input, and then warps the K example images to the input using optical flow. Step 2 uses the warped HR version of the K example faces to learn the local pixel structures for the target HR face. An effective method for learning local pixel structures from an individual face, and an adaptive p...

• Type: Journal
• Year: 2011
• Where: TIP
• Authors: Yu Hu, Kin-Man Lam, Guoping Qiu, Tingzhi Shen
• Keywords: Face Hallucination, Local Pixel Structures, Target Hr Face, TIP 2011