The quantized cosine transform for sensor-layer image compression
Publication
, Conference
Pitsianis, NP; Brady, DJ; Sun, X
Published in: Optics InfoBase Conference Papers
January 1, 2005
We introduce a compressive encoding at the sensor layer based on the quantized cosine transform. Compression at the physical layer of integrated imaging systems reduces the measurements-to-pixels ratio, the data volume and accelerates image estimation. © 2005 Optical Society of America.
Duke Scholars
Published In
Optics InfoBase Conference Papers
DOI
EISSN
2162-2701
ISBN
9781557527899
Publication Date
January 1, 2005
Citation
APA
Chicago
ICMJE
MLA
NLM
Pitsianis, N. P., Brady, D. J., & Sun, X. (2005). The quantized cosine transform for sensor-layer image compression. In Optics InfoBase Conference Papers. https://doi.org/10.1364/cosi.2005.jma4
Pitsianis, N. P., D. J. Brady, and X. Sun. “The quantized cosine transform for sensor-layer image compression.” In Optics InfoBase Conference Papers, 2005. https://doi.org/10.1364/cosi.2005.jma4.
Pitsianis NP, Brady DJ, Sun X. The quantized cosine transform for sensor-layer image compression. In: Optics InfoBase Conference Papers. 2005.
Pitsianis, N. P., et al. “The quantized cosine transform for sensor-layer image compression.” Optics InfoBase Conference Papers, 2005. Scopus, doi:10.1364/cosi.2005.jma4.
Pitsianis NP, Brady DJ, Sun X. The quantized cosine transform for sensor-layer image compression. Optics InfoBase Conference Papers. 2005.
Published In
Optics InfoBase Conference Papers
DOI
EISSN
2162-2701
ISBN
9781557527899
Publication Date
January 1, 2005