Variable Density Compressed Image Sampling

Abstract

Compressed sensing (CS) provides an efficient way to acquire and reconstruct natural images from a limited number of linear projection measurements leading to sub-Nyquist sampling rates. A key to the success of CS is the design of the measurement ensemble. This correspondence focuses on the design of a novel variable density sampling strategy, where the a… (More)
DOI: 10.1109/TIP.2009.2032889

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