Compressive Sensing for Image Reconstruction - Sivappagari, Chandra Mohan Reddy
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In today's world, size of images is increasingly large and N generally approaches to millions of samples. This large size imaging poses challenges for CS-based image reconstruction. First challenge is the huge size of measurement matrix that poses problems with storage and computation. Other problems include design of imaging system with larger space bandwidth product (SBP) and difficult calibration requirements. In an attempt to overcome the above challenges, single pixel camera hardware architecture has been proposed. It replaces the traditional camera architecture and captures the inner product between the scene under view and measurement basis.…mehr

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Produktbeschreibung
In today's world, size of images is increasingly large and N generally approaches to millions of samples. This large size imaging poses challenges for CS-based image reconstruction. First challenge is the huge size of measurement matrix that poses problems with storage and computation. Other problems include design of imaging system with larger space bandwidth product (SBP) and difficult calibration requirements. In an attempt to overcome the above challenges, single pixel camera hardware architecture has been proposed. It replaces the traditional camera architecture and captures the inner product between the scene under view and measurement basis.
Autorenporträt
Le Dr. Chandra Mohan Reddy Sivappagari travaille en tant que professeur associé à l'Université technologique Jawaharlal Nehru d'Anantapur (JNTUA), Ananthapuramu, Andhra Pradesh, Inde. Il a obtenu son doctorat en ingénierie à la JNTUA en 2014. Ses principaux domaines de recherche sont le traitement des signaux pour les communications et l'Internet des objets.