End-to-end design of diffractive optical elements (DOE) and color-coded apertures (CCA) published in Optica.
Overview of data-driven and end-to-end deep optical coding design in computational imaging.
Predict physicochemical properties of cocoa beans from VIS-NIR spectral data using learning-based regression.
Preprint: scene-driven adaptive ordering of Hadamard basis patterns for single-pixel spectral imaging.
Predict physicochemical properties of cocoa beans from VIS-NIR spectral data using learning-based regression; dataset collected from Santander and evaluated across regions.
Shift-variant color-coded diffractive spectral imaging system jointly designing DOE and CCA parameters for high-fidelity spectral reconstruction.