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Three-dimensional (3D) compressive sensing algorithms: towards real-time volumetric imaging

This is a final project of Matrix analysis and its applications, Prof. Fangming Han, Fall 2016.

Copyright Y. Liu.

Structure of directories

directory discription
algorithms MATLAB functions of all the algorithms applied in the project. (original)
packages algorithms adapted from the state-of-art algorithms. (adapted)
scenes static and dynamic scenes used in the project as test images or image sequences. (standard)
tests test code of the project applying the original functions and the adapted packages
utils utility functions for sparse reconstruction with respect to the quality and the (time) complexity of the results

Platform

The test platform is MATLAB(R) 2016a operating on Windows(R) 10 (x64) with an Intel(R) Core(TM) Quad CPU at 3.60 GHz and 16 GB memory.

Acknowledgement

The author would like to thank Prof. Fangming Han for inspiring discussions and Dr. X. Yuan for providing original code and datasets of coded apertur compressive temporal imaging (CACTI). The author would like to share special thanks to the WeLearn group for endless help on promoting efficiency.

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