Academic Journal

Coded strobing photography: Compressive sensing of high speed periodic videos

التفاصيل البيبلوغرافية
العنوان: Coded strobing photography: Compressive sensing of high speed periodic videos
المؤلفون: Ashok Veeraraghavan, Dikpal Reddy, Ramesh Raskar
المساهمون: The Pennsylvania State University CiteSeerX Archives
المصدر: http://www.merl.com/publications/docs/TR2010-020.pdf.
سنة النشر: 2011
المجموعة: CiteSeerX
مصطلحات موضوعية: Coded Strobing Photography, Compressive Sensing of High-speed Periodic Events Ashok Veeraraghavan ∗, Member, IEEE, Dikpal Reddy ∗, Student Member, and Ramesh Raskar, Membe
الوصف: We show that, via temporal modulation, one can observe a high-speed periodic event well beyond the abilities of a low-frame camera. By strobing the exposure with unique sequences within the integration time of each frame, we take coded projections of dynamic events. From a sequence of such frames, we reconstruct a high-speed video of the high frequency periodic process. Strobing is used in entertainment, medical imaging and industrial inspection to generate lower beat frequencies. But this is limited to scenes with a detectable single dominant frequency and requires high-intensity lighting. In this paper, we address the problem of sub-Nyquist sampling of periodic signals and show designs to capture and reconstruct such signals. The key result is that for such signals the Nyquist rate constraint can be imposed on strobe-rate rather than the sensorrate. The technique is based on intentional aliasing of the frequency components of the periodic signal while the reconstruction algorithm exploits recent advances in sparse representations and compressive sensing. We exploit the sparsity of periodic signals in Fourier domain to develop reconstruction algorithms that are inspired by compressive sensing.
نوع الوثيقة: text
وصف الملف: application/pdf
اللغة: English
Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.374.9187; http://www.merl.com/publications/docs/TR2010-020.pdf
الاتاحة: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.374.9187
http://www.merl.com/publications/docs/TR2010-020.pdf
Rights: Metadata may be used without restrictions as long as the oai identifier remains attached to it.
رقم الانضمام: edsbas.558AA98B
قاعدة البيانات: BASE