An Adaptive Injection Model for Pansharpening

Table 3

Average quantitative evaluation of real experiments.

Methods	IKONOS dataset			QuickBird dataset
			QNR			QNR
AWLP	0.0234	0.0481	0.9304	0.0446	0.0563	0.9021
BFLP	0.0230	0.0471	0.9318	0.0453	0.0578	0.9001
CBD	0.0259	0.0480	0.9281	0.0444	0.0608	0.8979
MTF-GLP	0.0295	0.0534	0.9194	0.0515	0.0601	0.8971
MF	0.0236	0.0523	0.9261	0.0489	0.0660	0.8892
ASIMP	0.0299	0.0528	0.9216	0.0405	0.0531	0.9091
LRFF	0.0338	0.0462	0.9211	0.3412	0.0573	0.9021
Proposed	0.0188	0.0458	0.9370	0.0331	0.0540	0.9153

The bold values indicate that they are optimal.