Abstract
Aiming at image/video super resolution applications, this paper presents a spatially adaptive FIR wiener filter for super resolution reconstruction. Missing high resolution samples can be estimated as the weighted sum of nearby low resolution samples. In the proposed algorithm, the optimal weighting coefficients for each of nearby low resolution samples are determined with a distance-based correlation model of samples and iteratively refined according to the most updated estimates of the missing high resolution samples. Both objective and subjective measurements in our simulations show that the proposed algorithm can produce a better result as compared with some conventional algorithms across different noise conditions.
| Original language | English |
|---|---|
| Title of host publication | APSIPA ASC 2010 - Asia-Pacific Signal and Information Processing Association Annual Summit and Conference |
| Pages | 125-128 |
| Number of pages | 4 |
| Publication status | Published - 1 Dec 2010 |
| Event | 2nd Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2010 - Biopolis, Singapore Duration: 14 Dec 2010 → 17 Dec 2010 |
Conference
| Conference | 2nd Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2010 |
|---|---|
| Country/Territory | Singapore |
| City | Biopolis |
| Period | 14/12/10 → 17/12/10 |
ASJC Scopus subject areas
- Computer Networks and Communications
- Information Systems