Bregman distance has been around since 1967. It turns out to lead to unreasonably effective and somewhat familiar optimization techniques involving L1, BV and related penalty terms which arise in a host of new and important algorithms, e.g., compressive sending, nonlocal means. I'll discuss this and give several application, including hypperspectral and medical imaging.
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