Traditional, Differential, and Normalized Ghost Imaging

MATLAB reference implementation of traditional ghost imaging (TGI), differential ghost imaging (DGI), and normalized ghost imaging (NGI) with generated uniform random illumination patterns.

Requirements

• MATLAB with Image Processing Toolbox.
• Run Generate_Uniform_Random_Matrices.m or RandomMatrices.m first to create local patterns under data_illumination_field/.
• Set TGI_TARGET_IMAGE to an authorized local image. If unset, the demo uses MATLAB's local cameraman.tif sample. The image is resized to 64x64.

setenv('TGI_TARGET_IMAGE', fullfile(pwd, 'my_target.png'));
RandomMatrices;
TGI_DGI_NGI;

The generated pattern directory and local target images are ignored by Git. The previously tracked target TIFF was removed because its source and reuse permission were not documented; see ASSET_PROVENANCE.md.

Files

• Generate_Uniform_Random_Matrices.m: helper for uniform random patterns.
• RandomMatrices.m: writes random illumination patterns to data_illumination_field/random_matrix_uniform_64/.
• TGI_DGI_NGI.m: reconstructs with TGI, DGI, and NGI.

Rights

The repository currently does not grant an open-source license for the author-owned MATLAB code. Public visibility is not a license. See NOTICE.md.