INVESTIGATING IMAGE SUPER-RESOLUTION METHODS - VALLI BHASHA, ACHUKATLA;VENKATRAMANA REDDY, B.D.
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High-Resolution (HR) images play an important role in many image applications, such as remote sensing, medical diagnosis, surveillance video and pattern recognition. Super Resolution (SR) is an efficient method to obtain a High Resolution (HR) output from one of its Low Resolution (LR) versions. Nowadays, the deep learning algorithms are used to obtain super resolution images. In this book, a new super resolution model for image reconstruction based on the deep learning algorithms is presented.

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Produktbeschreibung
High-Resolution (HR) images play an important role in many image applications, such as remote sensing, medical diagnosis, surveillance video and pattern recognition. Super Resolution (SR) is an efficient method to obtain a High Resolution (HR) output from one of its Low Resolution (LR) versions. Nowadays, the deep learning algorithms are used to obtain super resolution images. In this book, a new super resolution model for image reconstruction based on the deep learning algorithms is presented.
Autorenporträt
Achukatla Valli Bhasha received his B. Tech. Degree in Electronic Instrumentation and Control Engineering from S. V. University, Tirupati in 2003. M. Tech in Instrumentation and Control Systems from JNTUK, Kakinada in 2010 and awarded Doctorate in 2023 from JNTUA, Anathapuramu. At Present he is working as Associate Professor in ECE, KSRMCE, Kadapa.