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Unpaired Underwater Image Enhancement Based on CycleGAN
Information, 2021 Underwater image enhancement recovers degraded underwater images to produce corresponding clear images. Image enhancement methods based on deep learning usually use paired data to train the model, while such paired data, e.g., the degraded images and the
Rong Du +4 more
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Underwater Image Enhancement using GAN
International Journal of Innovative Science and Research Technology (IJISRT), 2023 The process of enhancing the distorted underwater images to clear image is known as Underwater image enhance- ment. Distorted images are the raw underwater images that taken from the deep portion of ocean, river etc by using different cameras. In general underwater images are mainly used in underwater robotics, ocean pasture and environmental monitor ...
Sabnam Jebin C., Rahamathulla K
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Framework for Underwater Image Enhancement
Procedia Computer Science, 2020 Abstract In this paper, we propose a framework for enhancement of underwater images. Underwater images suffer from low-contrast, blur and non-uniform illumination resulting in poor quality images. Red color in the atmospheric light is absorbed early due to its shorter wavelength, whereas the colors like blue and green penetrate deeper into water due ...
Zeba Patel +5 more
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IEEE Access, 2023 The rise of vision-based environmental, marine, and oceanic exploration research highlights the need for supporting underwater image enhancement techniques to help mitigate water effects on images such as blurriness, low color contrast, and poor quality.
Ashraf Saleem +4 more
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An Underwater Image Enhancement Algorithm Based on MSR Parameter Optimization
Journal of Marine Science and Engineering, 2020 The quality of underwater images is often affected by the absorption of light and the scattering and diffusion of floating objects. Therefore, underwater image enhancement algorithms have been widely studied. In this area, algorithms based on Multi-Scale
Kai Hu +4 more
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An Overview of Underwater Vision Enhancement: From Traditional Methods to Recent Deep Learning
Journal of Marine Science and Engineering, 2022 Underwater video images, as the primary carriers of underwater information, play a vital role in human exploration and development of the ocean. Due to the optical characteristics of water bodies, underwater video images generally have problems such as ...
Kai Hu +4 more
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Deep Underwater Image Enhancement
, 2018 In an underwater scene, wavelength-dependent light absorption and scattering degrade the visibility of images, causing low contrast and distorted color casts. To address this problem, we propose a convolutional neural network based image enhancement model, i.e., UWCNN, which is trained efficiently using a synthetic underwater image database. Unlike the
Anwar, Saeed +2 more
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UNDERWATER IMAGE ENHANCEMENT BASED ON POLARIZATION IMAGING [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020 Abstract. The need of high-quality underwater imaging is obviously required in many underwater applications. For example, underwater archaeology, underwater ecological research, underwater object detection and tracking. This paper presents a joint enhancing and denoising scheme for an image taken in underwater conditions.
L. Shen, Y. Zhao
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Medium Transmission Map Matters for Learning to Restore Real-World Underwater Images
Applied Sciences, 2022 Low illumination, light reflections, scattering, absorption, and suspended particles inevitably lead to critically degraded underwater image quality, which poses great challenges for recognizing objects from underwater images.
Kai Yan +4 more
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A review of miniaturised Non-Destructive Testing technologies for in-situ inspections [PDF]
, 2018 Non-destructive testing (NDT) techniques have become attractive trends of product manufacturing, installation and post-maintenance in the aerospace, automotive and manufacturing industry, because of its benefits such as cost saving, easy to use and high ...
Addepalli +12 more
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