EURASIP Journal on Advances in Signal Processing

Table 1 Quantitative measurement results of AMBE _N , DE _N , and CM _N methods

From: A non-convex gradient fidelity-based variational model for image contrast enhancement

	AMBE_N				DE_N					CM_N
	HE	2DHE	AR	MCE	NGF	HE	2DHE	AR	MCE	NGF	HE	2DHE	AR	MCE	NGF
Plane	0.0260	0.3269	0.5087	0.4998	0.6340	0.4920	0.4990	0.5598	0.6399	0.7693	0.5540	0.5264	0.5010	0.5108	0.5334
Tank	0.4928	0.0360	0.5079	0.4998	0.6207	0.4880	0.4950	0.5972	0.6929	0.8120	0.5556	0.5351	0.5017	0.5232	0.5577
Cam	0.0944	0.0473	0.5074	0.4957	0.4995	0.4458	0.4812	0.4957	0.4953	0.5490	0.5128	0.5158	0.5015	0.5322	0.5173
Baboon	0.3618	0.1276	0.5079	0.4972	0.4989	0.4572	0.4802	0.4928	0.5058	0.7982	0.5422	0.5266	0.5027	0.5667	0.5362
Cessna	0.0197	0.5973	0.5072	0.5013	0.6877	0.4623	0.4815	0.4916	0.4968	0.4991	0.5220	0.5103	0.4776	0.5060	0.5006
Light	0.1141	0.0973	0.5052	0.5033	0.5043	0.4502	0.4866	0.4941	0.5554	0.5963	0.5348	0.5192	0.5014	0.5311	0.5365
Beach	0.0198	0.0245	0.5064	0.5011	0.4193	0.4528	0.4767	0.4937	0.5571	0.6130	0.5305	0.5164	0.5009	0.5135	0.5427
Island	0.2495	0.1873	0.5048	0.5016	0.5056	0.4532	0.4670	0.4897	0.6152	0.6748	0.5256	0.5234	0.5015	0.5257	0.5449
Average	0.1723	0.1805	0.5069	0.5000	0.5463	0.4627	0.4830	0.5143	0.5698	0.6640	0.5347	0.5217	0.4985	0.5262	0.5337

The best among each results are in italics.

Back to article page