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Underwater Diver Image Enhancement via Dual-Guided Filtering
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作者 Jingchun Zhou Taian Shi +1 位作者 Weishi Zhang weishen chu 《Computer Modeling in Engineering & Sciences》 SCIE EI 2022年第5期1063-1081,共19页
The scattering and absorption of light propagating underwater cause the underwater images to present lowcontrast,color deviation,and loss of details,which in turn make human posture recognition challenging.To address ... The scattering and absorption of light propagating underwater cause the underwater images to present lowcontrast,color deviation,and loss of details,which in turn make human posture recognition challenging.To address these issues,this study introduced the dual-guided filtering technique and developed an underwater diver image improvement method.First,the color distortion of the underwater diver image was solved using white balance technology to obtain a color-corrected image.Second,dual-guided filtering was applied to the white balanced image to correct the distorted color and enhance its details.Four feature weight maps of the two images were then calculated,and two normalizedweightmapswere constructed formulti-scale fusion using normalization.To better preserve the obtained image details,the fusion image was histogram-stretched to obtain the final enhanced result.The experimental results validated that this method has improved the accuracy of underwater human posture recognition. 展开更多
关键词 Multi-scale fusion image enhancement guided filter underwater diver images
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