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Image enhancement and compression of deep-sea floor image for acoustic transmission

机译:深海底图像的图像增强和压缩,以进行声音传输

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One of the important missions of AUVs is to take deep-sea images and make maps of sea floor to contribute the understanding of deep-sea biology and geology. The sea floor images include lots of information such as distributions of creatures, minerals and so on. The next mission expected for AUVs is to bring the samples back concurrently with taking interesting photos, autonomously. However, this mission is difficult to perform fully-autonomous without the knowledge of biologists or geologists, as the AUVs don't know which objects are interesting or important for them and it takes long time to teach AUVs all features of target samples. It is necessary for AUVs to work semi-autonomously by collaborating with scientists on the ship and getting commands to indicate the important samples. In this research, we proposed an image enhancement and compression method for acoustic transmission with limited communication density. The proposed method enhances the effect of light attenuation in the deep-sea floor image and reduces the image depth from 24-bit of original images to 4-bit. The method is evaluated by transmission experiment using a new AUV "TUNA-SAND 2".
机译:AUV的重要任务之一是拍摄深海图像并制作海底地图,以帮助理解深海生物学和地质学。海底图像包含许多信息,例如生物,矿物的分布等。 AUV的下一个任务是自动取回样品并同时拍摄有趣的照片。但是,如果没有生物学家或地质学家的知识,这项任务很难完全自动执行,因为AUV不知道哪些物体对其感兴趣或很重要,并且要花很长时间来教导AUV目标样品的所有特征。 AUV必须与船上的科学家合作并获得指示重要样本的命令才能半自主地工作。在这项研究中,我们提出了一种在通信密度有限的情况下用于声音传输的图像增强和压缩方法。所提出的方法增强了深海底图像中的光衰减效果,并将图像深度从原始图像的24位减少到4位。通过使用新的AUV“ TUNA-SAND 2”的透射实验评估该方法。

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