Summary
Computational imaging aims to recover meaningful visual information about an object or scene from measurements collected by an imaging system. In many important applications, however, those measurements are indirect, incomplete, and noisy, making it difficult to determine the true underlying image. For example, many three-dimensional microscopy applications would need to recover cellular structure from measurements acquired over only limited views. In such settings, the data may be consistent with many plausible images rather than a single unique solution. Yet existing methods typically produc
