Single-pixel imaging via compressive sampling
- 21 March 2008
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Signal Processing Magazine
- Vol. 25 (2), 83-91
- https://doi.org/10.1109/msp.2007.914730
Abstract
The authors present a new approach to building simpler, smaller, and cheaper digital cameras that can operate efficiently across a broader spectral range than conventional silicon-based cameras. The approach fuses a new camera architecture based on a digital micromirror device with the new mathematical theory and algorithms of compressive sampling.Keywords
This publication has 17 references indexed in Scilit:
- Compressive Sensing [Lecture Notes]IEEE Signal Processing Magazine, 2007
- Optical architectures for compressive imagingApplied Optics, 2007
- Sparse Signal Detection from Incoherent ProjectionsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2006
- Stable signal recovery from incomplete and inaccurate measurementsCommunications on Pure and Applied Mathematics, 2006
- Compressive Sampling for Signal ClassificationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2006
- Sensor-layer image compression based on the quantized cosine transformPublished by SPIE-Intl Soc Optical Eng ,2005
- Application of spatial light modulators for new modalities in spectrometry and imagingPublished by SPIE-Intl Soc Optical Eng ,2003
- Motion-compensated highly scalable video compression using an adaptive 3D wavelet transform based on liftingPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- NoiseletsApplied and Computational Harmonic Analysis, 2001
- QuantizationIEEE Transactions on Information Theory, 1998