2026-10-13T00:58:39Z https://www.scidb.cn/oai

10.57760/sciencedb.00zzv 2026-08-21T09:42:08Z

2026-08-21 Object and modulation datasets for mutual information maximization optimization validation doi:10.57760/sciencedb.00zzv en This dataset is used for simulation and experimental verification of mutual‑information‑maximization optimization algorithms. It contains target object image samples and optical modulation matrix samples. Multiple groups of objects with different structures and corresponding modulation patterns are provided. It can be applied to the calculation of mutual‑information metrics, simulation of modulation‑matrix optimization strategies, and algorithm performance comparison for computational imaging systems. Oriented to ghost imaging and other computational‑imaging research, the dataset supports iterative optimization of modulation schemes under the criterion of mutual information maximization, and facilitates simulation reproduction and quantitative analysis to supply standardized test data for relevant algorithm research. Ghost Imaging; Mutual-Information; Diffraction Constraints; Information Filter; Modulation Optimization Chen Mengyu Liu Zhentao PUBLIC https://creativecommons.org/publicdomain/zero/1.0/ dataset Science Data Bank