Intensity-only optical compressive imaging using a multiply scattering material and a double phase retrieval approach
This work addresses compressive imaging for applications requiring low-cost, intensity-only measurements, but it is incremental as it builds on existing phase retrieval and scattering medium methods.
The paper tackled compressive imaging by using a multiply scattering medium for natural randomization and a double phase retrieval algorithm for calibration and reconstruction, achieving promising experimental results on the MNIST dataset.
In this paper, the problem of compressive imaging is addressed using natural randomization by means of a multiply scattering medium. To utilize the medium in this way, its corresponding transmission matrix must be estimated. To calibrate the imager, we use a digital micromirror device (DMD) as a simple, cheap, and high-resolution binary intensity modulator. We propose a phase retrieval algorithm which is well adapted to intensity-only measurements on the camera, and to the input binary intensity patterns, both to estimate the complex transmission matrix as well as image reconstruction. We demonstrate promising experimental results for the proposed algorithm using the MNIST dataset of handwritten digits as example images.