Concurrent focal-plane generation of compressed samples from time-encoded pixel values
| Autor: | Marco Trevisi, H. C. Bandala, Jorge Fernández-Berni, Ángel Rodríguez-Vázquez, Ricardo Carmona-Galan |
|---|---|
| Přispěvatelé: | Concurrent focal-plane generation of compressed samples from time-encoded pixel values, Universidad de Sevilla. Departamento de Electrónica y Electromagnetismo |
| Rok vydání: | 2018 |
| Předmět: |
Compressive sampling
Pixel Computer science business.industry Dynamic range 020208 electrical & electronic engineering ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 020206 networking & telecommunications 02 engineering and technology Iterative reconstruction Set (abstract data type) Light intensity Time-encoded pixels Compressed sensing Cardinal point Cellular Automaton 0202 electrical engineering electronic engineering information engineering Computer vision Node (circuits) Artificial intelligence business |
| Zdroj: | DATE Digital.CSIC. Repositorio Institucional del CSIC instname idUS. Depósito de Investigación de la Universidad de Sevilla |
| DOI: | 10.23919/date.2018.8342217 |
| Popis: | Compressive sampling allows wrapping the relevant content of an image in a reduced set of data. It exploits the sparsity of natural images. This principle can be employed to deliver images over a network under a restricted data rate and still receive enough meaningful information. An efficient implementation of this principle lies in the generation of the compressed samples right at the imager. Otherwise, i. e. digitizing the complete image and then composing the compressed samples in the digital plane, the required memory and processing resources can seriously compromise the budget of an autonomous camera node. In this paper we present the design of a pixel architecture that encodes light intensity into time, followed by a global strategy to pseudo-randomly combine pixel values and generate, on-chip and on-line, the compressed samples. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|