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A compressive sensing image compression algorithm using quantized DCT and noiselet information

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5 Author(s)

Inspired by recent theoretical advances in compressive sensing (CS), we propose a new framework that combines the classical local discrete cosine transform used in image compression algorithms such as JPEG with a global noiselet measure which is solved using second order cone programming (SOCP).

Published in:

Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on

Date of Conference:

14-19 March 2010