Computational ghost imaging with low-density parity-check code
Abstract
Ghost imaging (GI) offers a robust framework for non-local sensing across various wavebands. While most GI research focuses on reconstruction from undersampled signals, the use of information redundancy to enhance reconstruction reliability in complex environments has rarely been explored. To address this, we introduce a computational GI system employing LDPC-coded radiation fields. By modeling the imaging process as a matching fading channel, we demonstrate that signal redundancy can be exploited to suppress environmental noise and non-ideal factors. Furthermore, we establish an analytical lower bound for the bit error rate (BER) of the proposed system. Numerical and experimental results confirm that the LDPC-coded GI framework significantly enhances performance in challenging sensing conditions.
Fields of Study & Subjects
Random lasers and scattering media
Advanced Optical Imaging Technologies
Digital Holography and Microscopy
Publication details
- Journal / source
- Optics Express
- Publisher
- Optica Publishing Group
- Volume
- 34
- Issue
- 8
- Pages
- 13635–13635
- Publication date
- 24 March 2026
- Language
- EN