Recently developed coherent-imaging algorithms using Model-Based Iterative Reconstruction (MBIR) are robust to noise, speckle, and phase errors. These MBIR algorithms produce useful images with less signal which allows imaging distances to be extended. So far, MBIR algorithms have only incorporated simple image models. Complex scenes, on the other hand, require more advanced image models. In this work, we develop an MBIR algorithm for image reconstruction in the presence of phase errors which incorporates advanced image models. The proposed algorithm enables optically-coherent imaging of complex scenes at extended ranges.
Casey J. Pellizzari, Mark F. Spencer, and Charles A. Bouman, "Optically coherent image reconstruction in the presence of phase errors using advanced-prior models," Proc. SPIE 10650, Long-Range Imaging III, 106500B (Presented at SPIE Defense + Security: April 17, 2018; Published: 11 May 2018); https://doi.org/10.1117/12.2304692.
Conference Presentations are recordings of oral presentations given at SPIE conferences and published as part of the conference proceedings. They include the speaker's narration along with a video recording of the presentation slides and animations. Many conference presentations also include full-text papers. Search and browse our growing collection of more than 14,000 conference presentations, including many plenary and keynote presentations.