Research Article
An Adaptive Image Enhancement Technique by Combining Cuckoo Search and Particle Swarm Optimization Algorithm
Table 3
Fitness value by using proposed and other three objective functions.
| Objective function | Method | I1 | I2 | I3 | I4 |
| Apurpa | LCS | 0.3321 | 0.3431 | 0.4849 | 0.4216 | HE | 0.3015 | 0.2598 | 0.4292 | 0.3664 | CS-PSO | 0.5147 | 0.4667 | 0.5673 | 0.5987 |
| Zhou | LCS | 0.0864 | 0.0868 | 0.0861 | 0.0859 | HE | 0.0325 | 0.0503 | 0.0593 | 0.0574 | CS-PSO | 0.0337 | 0.0180 | 0.0925 | 0.0833 |
| Eskicioglu | LCS | 0.0657 | 0.1829 | 0.0691 | 0.0720 | HE | 0.1178 | 0.2414 | 0.0852 | 0.0886 | CS-PSO | 0.0677 | 0.1194 | 0.0885 | 0.0847 |
| Proposed | LCS | 0.3442 | 0.47464 | 0.4096 | 0.5628 | HE | 0.3643 | 0.34810 | 0.3927 | 0.4017 | CS-PSO | 0.8868 | 0.8519 | 1.0272 | 1.0504 |
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