Current Highlights and Future Applications of Computational Imaging

Dear Colleague,

Computational imaging is quite a recent diversification of conventional imaging systems. Instead of relying on the conventional source—optical block—sample-detector scheme, new techniques have been invented by introducing a computational logical block inserted between the data and the obtained images. Seismic imaging, tomography, computational microscopies, photography and many other technologies not limited by specific interactions, wavelengths or scope fall under this very broad definition.

Among rapidly growing techniques, ptychography smartly solves the inverse optical problem. This means that it gains information about the phase as a part of the decoding process and is available in a broad range of applications, after having been initially sought for high energy imaging needs. Another example is Fresnel incoherent correlation holography (FINCH), which obtains a full 3D image by digitally recording sequentially reflected white light images from a 3D object through a diffractive optical element and reconstructing a full hologram via computer.

The aim of this Special Issue is, therefore, to illustrate the advantages and the potentialities made possible by the advances of powerful and inexpensive computing platforms, realizing new ideas that were simply not possible until a few years ago.

Dr. Stefano Selci
Guest Editor

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