EURASIP Journal on Image and Video Processing

Table 2 Comparison of the different metaheuristic algorithm with our proposed EF based on all the performance evaluation metrics

From: A new evaluation function for face image enhancement in unconstrained environments using metaheuristic algorithms

Metrics	CSO + Proposed EF			PSO + Proposed EF			GA + Proposed EF
Metrics	Im1	Im2	Im3	Im1	Im2	Im3	Im1	Im2	Im3
ϕ _g	6026	2014	4567	4267	2022	4318	5806	2019	4291
N _g	3408	2422	2475	2475	2412	2437	3148	2410	2421
ρ _g	11.9	13.2	12.4	12.4	12.5	11.4	10.2	12.5	11.5
β _g	7.7	7.7	7.7	7.7	7.7	7.7	7.2	7.7	7.5
ξ	0.0	0.1	0.0	0.0	0.1	0.0	0.2	0.1	0.0
Ε	1.534	1.310	1.417	1.532	1.304	1.406	1.4509	1.302	1.404

Legend: ϕ_g number of pixels in the foreground; N_g number of edge pixels; ρ_g PSNR; β_g entropic measure; ξ absolute mean brightness error; Ε fitness value

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