Progressive compressive imager

Sergei Evladov, Ofer Levi, Adrian Stern

نتاج البحث: فصل من :كتاب / تقرير / مؤتمرمنشور من مؤتمرمراجعة النظراء

ملخص

We have designed and built a working automatic progressive sampling imaging system based on the vector sensor concept, which utilizes a unique sampling scheme of Radon projections. This sampling scheme makes it possible to progressively add information resulting in tradeoff between compression and the quality of reconstruction. The uniqueness of our sampling is that in any moment of the acquisition process the reconstruction can produce a reasonable version of the image. The advantage of the gradual addition of the samples is seen when the sparsity rate of the object is unknown, and thus the number of needed measurements. We have developed the iterative algorithm OSO (Ordered Sets Optimization) which employs our sampling scheme for creation of nearly uniform distributed sets of samples, which allows the reconstruction of Mega-Pixel images. We present the good quality reconstruction from compressed data ratios of 1:20.

اللغة الأصليةالإنجليزيّة
عنوان منشور المضيفCompressive Sensing
المعرِّفات الرقمية للأشياء
حالة النشرنُشِر - 23 يوليو 2012
الحدثCompressive Sensing - Baltimore, MD, الولايات المتّحدة
المدة: ٢٦ أبريل ٢٠١٢٢٧ أبريل ٢٠١٢

سلسلة المنشورات

الاسمProceedings of SPIE - The International Society for Optical Engineering
مستوى الصوت8365

!!Conference

!!ConferenceCompressive Sensing
الدولة/الإقليمالولايات المتّحدة
المدينةBaltimore, MD
المدة٢٦/٠٤/١٢٢٧/٠٤/١٢

All Science Journal Classification (ASJC) codes

  • !!Electronic, Optical and Magnetic Materials
  • !!Condensed Matter Physics
  • !!Computer Science Applications
  • !!Applied Mathematics
  • !!Electrical and Electronic Engineering

بصمة

أدرس بدقة موضوعات البحث “Progressive compressive imager'. فهما يشكلان معًا بصمة فريدة.

قم بذكر هذا