Advanced Underwater Image Quality Enhancement via Hybrid Super-Resolution Convolutional Neural Networks and Multi-Scale Retinex-Based Defogging Techniques

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Detalles Bibliográficos
Publicado en:	arXiv.org (Oct 18, 2024), p. n/a
Autor Principal:	Yugandhar Reddy Gogireddy
Outros autores:	Jithendra Reddy Gogireddy
Publicado:	Cornell University Library, arXiv.org
Materias:	Robotics Autonomous underwater vehicles Photodegradation Image resolution Visual perception Image enhancement Spatial resolution Artificial neural networks Neural networks Underwater robots Visibility Image degradation Retinex (algorithm) Image quality Machine learning Real time Image processing Visual perception driven algorithms Image contrast Fogging Signal to noise ratio
Acceso en liña:	Citation/Abstract Full text outside of ProQuest
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