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. Author manuscript; available in PMC: 2018 Apr 1.
Published in final edited form as: J Magn Reson Imaging. 2016 Dec 16;45(4):966–987. doi: 10.1002/jmri.25547

Figure 1.

Figure 1

Comparison of standard image compression (a) and compressed sensing (b). Image compression first acquires a fully-sampled image and then compresses it in the second step. Compressed sensing, on the other hand, builds the compression into the encoding process, thus acquiring only a subset of the encoding steps in a random pattern. The image is subsequently reconstructed from undersampled data with a suitable nonlinear algorithm. F: Fourier transform; T: sparsifying transform; CS: compressed sensing.