No-Reference Image Quality Assessment - Yang, Pei
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No-reference image quality assessment plays an important role in various applications. This book provides a thorough exploration of NR-IQA, including an introduction to fundamental concepts and principles, representative traditional and DNN-based approaches, as well as some human-inspired NR-IQA models that draw on insights from human visual perception to further improve the performance of NR-IQA models. The main goal of this book is to offer a comprehensive resource for researchers interested in this field, to provide valuable insights and guidance in understanding and applying these innovative no-reference image quality assessment techniques.…mehr

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Produktbeschreibung
No-reference image quality assessment plays an important role in various applications. This book provides a thorough exploration of NR-IQA, including an introduction to fundamental concepts and principles, representative traditional and DNN-based approaches, as well as some human-inspired NR-IQA models that draw on insights from human visual perception to further improve the performance of NR-IQA models. The main goal of this book is to offer a comprehensive resource for researchers interested in this field, to provide valuable insights and guidance in understanding and applying these innovative no-reference image quality assessment techniques.
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Autorenporträt
Pei Yang is currently a faculty member at the School of Computer Technology and Applications, Qinghai University. His research interests primarily include image processing, machine learning, and their applications.