Table 3 The complexity comparison of different methods on a 256 \(\times\) 256 underwater image. The best performance is marked in bold.

From: Mamba-convolution hybrid network for underwater image enhancement

Methods

Params (M)

FLOPs (G)

Running time (s)

BRUIE25

-

-

0.2665

HLRP26

-

-

0.0950

USUIR9

14.8143

0.2255

0.0040

PUIE-Net5

30.0939

1.4010

0.1126

U-shape14

22.8172

2.9835

0.0190

WaterMamba18

3.6951

7.5369

0.0244

UWMamba20

17.6016

14.4590

0.0090

PixMamb19

8.6855

7.6019

0.2910

RM-UIE

6.3341

7.2712

0.0176

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