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Conference Paper
Signal Recovery and Synthesis
Charlotte, North Carolina United States
June 6, 2005
ISBN: 1-55752-789-X
Joint COSI/SRS Session (JMA)

The Quantized Cosine Transform for Sensor-Layer Image Compression

Nikos P. Pitsianis, David J. Brady, and Xiaobai Sun


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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

OCIS Codes
(100.0100) Image processing : Image processing
(100.3010) Image processing : Image reconstruction techniques
(110.0110) Imaging systems : Imaging systems
(110.6980) Imaging systems : Transforms

N. P. Pitsianis, D. J. Brady, and X. Sun, " The Quantized Cosine Transform for Sensor-Layer Image Compression," in Adaptive Optics: Analysis and Methods/Computational Optical Sensing and Imaging/Information Photonics/Signal Recovery and Synthesis Topical Meetings on CD-ROM, Technical Digest (Optical Society of America, 2005), paper JMA4.

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