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. 2022 Nov 24;8:e1160. doi: 10.7717/peerj-cs.1160

Table 3. Compare of IEF results for proposed method and others on six images selected from different datasets.

Images Filters 10% 20% 30% 40% 50% 60% 70% 80% 90%
IEF RESULTS Lena
512×512 		AFMF 186.43 251.76 241.80 226.42 196.76 175.00 136.45 109.51 39.23
ARmF 631.88 608.86 524.67 471.33 398.16 326.41 245.77 188.22 115.22
IAWMF 613.85 604.65 522.92 470.52 403.32 343.27 265.65 207.72 132.74
ASWMF 160.46 161.99 150.37 142.41 131.32 116.96 92.68 70.30 38.69
AWMF 253.68 359.82 380.11 384.37 349.40 301.78 234.21 183.52 113.79
DAMF 650.04 545.25 443.73 382.47 321.61 274.61 217.59 173.06 105.92
IMF 545.62 530.80 464.30 435.60 397.75 351.27 284.99 233.85 156.12
TSF 650.04 545.25 443.73 382.64 322.00 275.07 219.49 177.08 116.23
MSCF-1 557.16 549.21 476.87 435.16 374.48 314.36 241.16 195.17 135.02
DAMRmF 631.47 606.74 522.76 473.67 409.04 351.36 270.76 212.62 135.55
SFT_lp 718.62 671.18 565.12 510.21 448.88 388.06 296.98 237.06 145.41
Bilal’s method 540.19 417.47 317.83 255.54 208.82 162.77 119.27 87.04 46.24
NVBMF 700.97 608.04 522.92 397.87 435.15 393.25 316.14 254.35 159.91
Cameraman
512×512 		AFMF 269.42 301.37 261.09 239.54 197.60 156.83 129.51 96.39 33.80
ARmF 917.51 943.94 780.82 663.01 506.12 356.88 271.62 194.25 106.41
IAWMF 839.58 917.45 782.49 655.63 520.60 377.71 303.39 219.38 122.36
ASWMF 122.53 132.85 123.13 117.49 107.06 90.68 77.02 53.74 28.32
AWMF 234.15 394.22 451.87 470.92 411.27 319.98 255.46 188.17 104.80
DAMF 856.57 727.56 543.78 444.62 352.05 269.87 228.41 174.07 98.02
IMF 749.08 758.36 642.09 574.57 486.92 366.83 308.68 230.37 140.90
TSF 856.57 727.56 543.81 444.96 351.57 269.90 231.48 177.21 103.61
MSCF-1 753.39 791.27 664.28 590.61 464.57 337.18 268.95 201.55 123.25
DAMRmF 916.33 933.92 771.81 662.49 514.55 379.96 302.87 221.25 125.73
SFT_lp 1,249.40 1,138.00 902.27 734.14 555.08 403.81 304.84 213.71 128.71
Bilal’s Method 743.11 528.60 364.15 274.21 198.75 140.55 110.20 74.29 39.56
NVBMF 1,127.50 950.65 710.67 536.78 564.89 448.84 364.57 271.12 147.84
Airplane
512×512 		AFMF 22.15 30.86 37.35 40.31 37.01 33.46 29.07 23.17 12.87
ARmF 154.02 129.55 110.24 99.11 84.67 66.09 54.58 41.53 24.63
IAWMF 141.41 123.84 107.38 99.48 86.40 68.98 58.64 45.50 27.29
ASWMF 34.70 33.61 31.87 31.70 29.12 26.30 23.00 18.63 13.30
AWMF 35.12 52.04 63.25 69.96 65.24 56.95 49.45 39.38 24.20
DAMF 140.58 98.04 83.33 79.17 67.25 55.10 47.75 38.12 23.32
IMF 126.41 107.55 92.75 87.13 78.32 63.97 56.93 45.76 29.31
TSF 140.58 98.04 83.33 79.07 67.02 54.60 46.47 36.77 23.47
MSCF-1 106.08 93.42 84.11 80.31 71.01 58.96 50.91 41.53 27.07
DAMRmF 153.08 128.96 111.97 102.39 89.38 71.30 59.57 46.63 28.00
SFT_lp 171.61 136.24 105.63 91.64 77.39 60.57 50.25 38.25 23.29
Bilal’s Method 112.25 81.07 65.21 52.84 41.05 32.75 24.61 17.88 10.82
NVBMF 192.83 145.50 113.20 94.40 79.85 67.68 61.45 49.82 30.40
micromarket
2,336×3,504 MATLAB Library (R2020b)		 AFMF 284.20 332.03 318.87 287.72 250.51 213.41 177.32 138.50 43.48
ARmF 1,051.90 956.73 844.21 722.14 598.47 468.10 349.22 252.11 145.65
IAWMF 1,020.40 960.57 853.00 731.14 615.16 494.33 382.49 282.70 168.43
ASWMF 216.40 207.76 196.60 183.03 164.23 140.12 110.39 74.97 38.29
AWMF 337.59 473.15 533.58 537.74 495.05 416.82 326.04 242.39 143.11
DAMF 1,155.20 855.36 647.65 516.65 429.13 357.68 291.07 224.22 133.42
IMF 843.49 770.50 690.94 614.87 535.93 453.81 370.45 292.57 197.73
TSF 1,155.20 855.36 647.65 516.62 429.16 358.65 295.28 230.32 143.16
MSCF-1 871.04 807.17 729.51 640.05 543.30 438.62 340.58 263.03 171.29
DAMRmF 1,051.50 954.69 840.27 721.91 611.20 494.25 384.72 289.53 175.07
SFT_lp 1,554.10 1,292.50 1,059.70 879.19 722.02 579.76 449.80 332.62 203.02
Bilal’s Method 965.98 638.66 456.40 339.17 255.90 190.86 138.26 93.24 52.59
NVBMF 1,297.30 1,031.40 801.71 629.90 637.96 552.87 454.50 350.90 206.72
img_600 × 600_1 × 8 bit_B01C00GRAY_apples
600×600 TESTIMAGES
dataset		 AFMF 470.95 502.95 512.86 471.98 380.29 334.53 261.97 195.57 49.48
ARmF 1,694.90 1,442.00 1,326.50 1,119.90 883.60 700.11 518.25 385.82 213.07
IAWMF 1,580.60 1,397.80 1,321.00 1,110.90 881.89 731.58 569.12 435.93 246.16
ASWMF 302.49 268.79 258.25 215.57 188.87 147.36 112.09 67.78 30.73
AWMF 505.16 721.97 857.11 830.39 745.28 631.68 485.98 374.15 209.17
DAMF 1,505.70 1,145.10 952.06 800.74 647.00 552.42 437.06 348.72 191.45
IMF 1,423.40 1,203.80 1137.60 988.97 834.49 722.79 578.45 455.25 290.76
TSF 1,505.60 1,145.10 952.03 800.13 645.49 549.88 437.63 335.30 200.91
MSCF-1 1,462.60 1,276.80 1,175.00 1,012.70 822.11 664.86 508.61 409.45 252.94
DAMRmF 1,692.50 1,436.20 1,320.00 1,116.80 897.59 754.04 584.60 441.54 261.31
SFT_lp 2,066.20 1,625.50 1,484.40 1,221.20 979.54 788.35 594.70 433.37 228.35
Bilal’s method 1,218.30 758.77 524.63 397.00 277.88 196.18 136.28 79.87 32.74
NVBMF 1,900.10 1,387.90 1,173.20 920.19 1,014.60 902.58 735.32 575.65 319.11
187083
321×481 Berkeley 200 dataset		 AFMF 236.34 328.58 330.02 332.01 285.55 252.38 204.25 169.75 40.85
ARmF 990.68 822.00 758.39 712.57 588.65 500.28 372.28 292.65 199.07
IAWMF 987.55 835.33 774.81 725.89 603.88 519.75 398.53 324.01 225.00
ASWMF 272.85 252.56 236.63 225.08 202.12 175.84 133.46 91.07 46.90
AWMF 374.69 488.77 530.40 553.48 506.17 453.77 352.01 282.76 196.27
DAMF 1,082.00 784.44 602.91 573.09 461.20 413.37 320.28 268.28 179.84
IMF 813.75 699.01 651.44 626.73 551.45 492.96 415.68 351.28 261.39
TSF 1,082.00 784.44 602.91 573.13 461.24 411.89 323.44 271.35 199.27
MSCF-1 839.53 715.23 668.08 642.69 536.77 473.27 364.15 300.23 224.52
DAMRmF 989.81 822.61 757.11 713.34 598.34 522.67 403.57 329.16 233.76
SFT_lp 1282.30 969.91 851.28 755.33 626.65 543.58 427.27 338.28 233.18
Bilal’s method 1,035.70 675.62 497.08 446.73 340.65 264.32 200.56 140.56 82.59
NVBMF 1,197.70 878.73 756.20 652.12 597.69 537.22 445.71 373.30 258.41