PMID- 21672677
OWN - NLM
STAT- PubMed-not-MEDLINE
DCOM- 20120319
LR  - 20111122
IS  - 1941-0042 (Electronic)
IS  - 1057-7149 (Linking)
VI  - 20
IP  - 12
DP  - 2011 Dec
TI  - An efficient selective perceptual-based super-resolution estimator.
PG  - 3470-82
LID - 10.1109/TIP.2011.2159324 [doi]
AB  - In this paper, a selective perceptual-based (SELP) framework is presented to 
      reduce the complexity of popular super-resolution (SR) algorithms while 
      maintaining the desired quality of the enhanced images/video. A perceptual human 
      visual system model is proposed to compute local contrast sensitivity thresholds. 
      The obtained thresholds are used to select which pixels are super-resolved based 
      on the perceived visibility of local edges. Processing only a set of perceptually 
      significant pixels reduces significantly the computational complexity of SR 
      algorithms without losing the achievable visual quality. The proposed SELP 
      framework is integrated into a maximum-a posteriori-based SR algorithm as well as 
      a fast two-stage fusion-restoration SR estimator. Simulation results show a 
      significant reduction on average in computational complexity with comparable 
      signal-to-noise ratio gains and visual quality.
CI  - (c) 2011 IEEE
FAU - Karam, Lina J
AU  - Karam LJ
AD  - School of Electrical, Computer, and Energy Engineering, Arizona State University, 
      Tempe, AZ 85287-5706, USA. karam@asu.edu
FAU - Sadaka, Nabil G
AU  - Sadaka NG
FAU - Ferzli, Rony
AU  - Ferzli R
FAU - Ivanovski, Zoran A
AU  - Ivanovski ZA
LA  - eng
PT  - Journal Article
DEP - 20110613
PL  - United States
TA  - IEEE Trans Image Process
JT  - IEEE transactions on image processing : a publication of the IEEE Signal 
      Processing Society
JID - 9886191
EDAT- 2011/06/16 06:00
MHDA- 2011/06/16 06:01
CRDT- 2011/06/16 06:00
PHST- 2011/06/16 06:00 [entrez]
PHST- 2011/06/16 06:00 [pubmed]
PHST- 2011/06/16 06:01 [medline]
AID - 10.1109/TIP.2011.2159324 [doi]
PST - ppublish
SO  - IEEE Trans Image Process. 2011 Dec;20(12):3470-82. doi: 10.1109/TIP.2011.2159324. 
      Epub 2011 Jun 13.