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A compressive sensing based transmissive single-pixel camera

Title
A compressive sensing based transmissive single-pixel camera
Type
Article in International Conference Proceedings Book
Year
2011
Authors
magalhaes, f
(Author)
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abolbashari, m
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farahi, f
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araujo, fm
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correia, mv
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Conference proceedings International
International Conference on Applications of Optics and Photonics
Braga, Portugal, 3 a 7 de Maio de 2011
Scientific classification
FOS: Engineering and technology > Electrical engineering, Electronic engineering, Information engineering
CORDIS: Technological sciences > Technology > Optronics ; Technological sciences > Technology > Computer technology > Signal processing ; Technological sciences > Technology > Computer technology > Image processing
Other information
Authenticus ID: P-002-X8J
Abstract (EN): Compressive sensing (CS) has recently emerged and is now a subject of increasing research and discussion, undergoing significant advances at an incredible pace. The novel theory of CS provides a fundamentally new approach to data acquisition which overcomes the common wisdom of information theory, specifically that provided by the Shannon-Nyquist sampling theorem. Perhaps surprisingly, it predicts that certain signals or images can be accurately, and sometimes even exactly, recovered from what was previously believed to be highly incomplete measurements (information). As the requirements of many applications nowadays often exceed the capabilities of traditional imaging architectures, there has been an increasing deal of interest in so-called computational imaging (CI). CI systems are hybrid imagers in which computation assumes a central role in the image formation process. Therefore, in the light of CS theory, we present a transmissive single-pixel camera that integrates a liquid crystal display (LCD) as an incoherent random coding device, yielding CS-typical compressed observations, since the beginning of the image acquisition process. This camera has been incorporated into an optical microscope and the obtained results can be exploited towards the development of compressive-sensing-based cameras for pixel-level adaptive gain imaging or fluorescence microscopy.
Language: English
Type (Professor's evaluation): Scientific
Contact: filipe.magalhaes@inescporto.pt
No. of pages: 8
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