The quantized cosine transform for sensor-layer image compression
Publication
, Journal Article
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
EISSN
2162-2701
Publication Date
January 1, 2005
Citation
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Chicago
ICMJE
MLA
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Pitsianis, N. P., Brady, D. J., & Sun, X. (2005). The quantized cosine transform for sensor-layer image compression. Optics InfoBase Conference Papers.
Pitsianis, N. P., D. J. Brady, and X. Sun. “The quantized cosine transform for sensor-layer image compression.” Optics InfoBase Conference Papers, January 1, 2005.
Pitsianis NP, Brady DJ, Sun X. The quantized cosine transform for sensor-layer image compression. Optics InfoBase Conference Papers. 2005 Jan 1;
Pitsianis, N. P., et al. “The quantized cosine transform for sensor-layer image compression.” Optics InfoBase Conference Papers, Jan. 2005.
Pitsianis NP, Brady DJ, Sun X. The quantized cosine transform for sensor-layer image compression. Optics InfoBase Conference Papers. 2005 Jan 1;
Published In
Optics InfoBase Conference Papers
EISSN
2162-2701
Publication Date
January 1, 2005