Because what they are describing is compression, I mean its even called compressed sensing. I'm guessing that somewhere lost in the journalism is the suggestion

Because what they are describing is compression, I mean its even called compressed sensing. I'm guessing that somewhere lost in the journalism is the suggestion that its better to place more computation on the decompression, which might be true in some application. It seems like a great bit of technology, I don't think the author needed to sex it up with mention of compressing images. The applications where its actually hard to do sensing at all (like the MRI example in the article) are much more compelling. It seems like its main use seems to be in turning sparse data into its most human friendly form, but I do wonder about making clinical decisions based on such an aggressive interpolation rather than actual data.