Abstract
In this paper, we propose a novel patch-based face-hallucination algorithm, which is based on the local structure kernels established via the relation between interpolated low-resolution (LR) images and their corresponding high-resolution counterparts. In our algorithm, the local linear embedding (LLE) algorithm is used to extract local structures, and the kernels are then constructed based on non-overlapped patches in the interpolated LR images. The information about local structures as described by the kernels is propagated to the corresponding regions of the HR images. Sub-pixel distortions are refined by solving a constrained problem at pixel level via iterative procedures. Experimental results show that our proposed method can provide a good performance in terms of reconstruction errors and visual quality.
Original language | English |
---|---|
Title of host publication | 2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012 - Proceedings |
Pages | 1265-1268 |
Number of pages | 4 |
DOIs | |
Publication status | Published - 23 Oct 2012 |
Event | 2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012 - Kyoto, Japan Duration: 25 Mar 2012 → 30 Mar 2012 |
Conference
Conference | 2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012 |
---|---|
Country/Territory | Japan |
City | Kyoto |
Period | 25/03/12 → 30/03/12 |
Keywords
- eigentransformation
- face hallucination
- local structure
ASJC Scopus subject areas
- Software
- Signal Processing
- Electrical and Electronic Engineering