Compressive Sensing for Image Reconstruction: Using Matched Wavelet - Chandra Mohan Reddy Sivappagari
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Piegāde 12-18 darba dienu laikā
30 dienu atgriešanas politika
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 require ... Pilns apraksts
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Aprašymas
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.
Vairāk informācijas
| Autors | Chandra Mohan Reddy Sivappagari |
|---|---|
| Izdevējs | LAP LAMBERT Academic Publishing |
| Izlaides gads | 2018 |
| Vāka tips | Mīkstais vāks |
| EAN | 9786139955398 |