Nonuniform Illumination Correction Algorithm for Underwater Images Using Maximum Likelihood Estimation Method

Table 1

Comparison of results.

Method	AC	AIE	AL	NNF	CAF
Image 1
Original	7.88	6.68	80.35	0.63	8.61
Proposed; method	22.93	7.11	121.38	0.95	9.70
HE	16.13	5.32	127.78	0.99	8.32
AHE	20.19	6.91	103.55	0.81	9.57
Homomorphic; filter	5.69	5.49	47.39	0.37	7.09
Image 2
Original	7.3	6.37	199.46	0.44	7.08
Proposed; method	9.97	7.53	148.61	0.83	9.85
HE	7.17	5.76	125.88	0.98	8.35
AHE	6.31	7.23	167.6	0.68	9.14
Homomorphic; filter	3.53	7.61	176.86	0.61	8.61
Image 3
Original	2.44	6.4	198	0.45	7.74
Proposed; method	9.1	7.04	171.11	0.66	9.10
HE	9.92	5.25	130.69	0.97	7.96
AHE	6.18	6.81	180.71	0.58	8.59
Homomorphic; filter	3.22	6.44	180.52	0.58	7.98
Image 4
Original	5.03	7.75	104.38	0.81	9.8
Proposed; method	15.71	7.79	131.34	0.97	10.69
HE	5.94	5.97	125.51	0.98	8.48
AHE	12.00	7.84	115.34	0.9	10.4
Homomorphic; filter	4.09	6.7	68.64	0.53	8.29
Image 5
Original	2.17	7.37	118.57	0.93	9.38
Proposed; method	11.67	7.61	141.23	0.89	10.18
HE	6.85	7.45	124.49	0.97	9.99
AHE	4.85	6.69	116.5	0.91	9.2
Homomorphic; filter	1.84	6.94	63.59	0.49	8.23