No Reference Image Quality Assessment

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Bol 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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Bol

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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Pages: 160, Paperback, LAP Lambert Academic Publishing


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Merk LAP LAMBERT Academic Publishing
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  • 9786208118280
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