A Python module for finding binary sequences optimized for coded aperture.

Coded aperture is a data-collection strategy whose goal is to make solving an imaging inverse problem easier by intentionally modulating or controlling the light source with a specially designed sequence. Examples of these imaging inverse problems include deblurring, lensless imaging, and depth-of-field recovery. The success of the coded aperture approach depends on the properties of code, however, and finding a code with "optimal properties" remains difficult.

The aim of this library is to assist in quickly checking many equivalence classes of sequences against a metric. The equivalence classes targeted by this library are combinatoric necklaces, bracelets, and Lyndon words because FFT-based metrics of "good properties" should be invariant against a rotation or reversal of the sequence.

Karim, S., J. Sawada, Z. Alamgir, and S. M. Husnine. 2013. "Generating Bracelets with Fixed Content." Theoretical Computer Science 475: 103–12. https://doi.org/10.1016/j.tcs.2012年11月02日4.