ROBUST OFF-AXIS DIGITAL HOLOGRAPHIC IMAGING SYSTEM IN COMPRESSIVE SENSING FRAMEWORK

Digital holographic imaging technique based on digital sensor arrays such as CCD/CMOS requires a larger number of pixels to capture the interference pattern into holograms with high resolution. These holographic images hence require large memory for data storage and transmission of 3D information. This paper demonstrates a compressive sensing (CS) method merged with off-axis digital Fresnel holography to reconstruct object wavefront from incomplete hologram pixels detection. Two different sampling masks, i.e. random sampling mask and uniform subsampling mask are considered to reduce the digital hologram samples to reconstruct the object wavefront from fewer hologram measurements. The robustness of the proposed method is validated by reconstructing intensity and phase images of good quality using Haar wavelet sparsified CS approach. The quantitative analysis shows that the proposed compressive off-axis digital holographic system is capable of reconstructing superior quality intensity and phase images of the object wavefront with only 25% hologram pixels. The quantitative comparisons of the results are presented from a numerical experiment to show the proof of the concept.