Underwater degraded image–sharpening method based on optimal polarization parameter reconstruction

Table 1. Comparison results of high density image restoration algorithms
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Table 1. Comparison results of high density image restoration algorithms
Fig.6(a) Fig.6(b) Fig.6(c) Fig.6(d) Fig.6(e)
Information entropy 5.4505 4.9413 5.5111 6.6261 7.2706
Average gradient 0.5407 0.2594 1.1639 0.8852 2.9033
Gray variance 10.1887 7.6285 8.3886 22.2530 34.2354

Table 2. Comparison results of low density image restoration algorithms
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Table 2. Comparison results of low density image restoration algorithms
Fig.7(a) Fig.7(b) Fig.7(c) Fig.7(d) Fig.7(e)
Information entropy 6.2114 5.7978 5.4828 5.0101 7.4050
Average gradient 0.8262 0.4569 1.2506 0.3238 1.4287
Gray variance 20.3039 14.6910 18.3434 10.3311 49.0291

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Ronghua Li, Zhichao Tang, Junfeng Piao, Hongliang Li. Underwater degraded image–sharpening method based on optimal polarization parameter reconstruction[J]. Infrared and Laser Engineering, 2021, 50(6): 20200426

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