Fig. 9 | Scientific Reports

Fig. 9

From: Underwater image dehazing using a hybrid GAN with bottleneck attention and improved Retinex-based optimization

Fig. 9

Comparative analysis of underwater image enhancement techniques on UIEB dataset from left to right (a) Hazy underwater image, (b) ground truth image, (c) WaterNet67 (d) MGDC-Net68, (e) UGAN (Underwater GAN)52, (f) UMGAN (underwater multi-scene GAN)69, (g) Sea-pix GAN70, (h) GuidedHybSensUIR71, (i) UDCP72, (j) WaterGAN54, (k) CLAHE + Zero Shot + White balancing73 (l) UW-Net57, proposed work.

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