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26 de sept. de 2022 · Here we describe underwater backscatter imaging, a method for scalable, real-time wireless imaging of underwater environments using fully-submerged battery-free cameras.
12 de mar. de 2022 · By using this sort of technique for identification and localization, underwater object detection can be utilized for counting objects in underwater scenes and also for determining and spooring their accurate locations by precisely labeling the objects in underwater images.
underwater image processing by highlighting the contributions and challenges presented in over 40 papers. We present an overview of various underwater image-processing approaches, such as underwater image de-scattering, underwater image color restoration, and underwater image quality assessments.
1 de oct. de 2023 · In this paper, a lightweight deep-water object detection network is proposed, which consists of three key components, namely image restoration, color transformation, and object detection. First, we propose a lightweight attention module for the problems of color distortion and uneven illumination in underwater images.
28 de sept. de 2023 · Pinto and Matos ( 2020) introduced an innovative hybrid imaging system (MARESye) that combines active and passive imaging information in a data-driven manner, expanding the measurement range and achieving high-density 3D estimation in dynamic underwater environments.
1 de feb. de 2021 · This survey introduces a review of existing relatively mature and representative underwater image processing models, which are classified into seven categories including enhancement, fog removal, noise reduction, segmentation, salient object detection, color constancy and restoration.
This paper proposes DeepRecog—an integrated underwater image deblurring and object recognition framework for AUV vision systems. The principle behind the image deblurring module involves a threefold approach consisting of CNNs, adaptive and transformative filters.
