Bahram Javidi

TL;DR: This work investigates the performance of the optimum receiver designed for nonoverlapping target and scene noise in terms of rotation and scale sensitivity of the input targets and discrimination against similar objects and applies it to binary character recognition.

TL;DR: A deep learning integral imaging system that can reconstruct a 3D image without the out of focus areas and can accomplish target detection and segmentation at the same time is presented.

TL;DR: It is demonstrated that the holographic imaging device with a low-coherence light source can achieve diffraction-limited resolution and show the possibility of aberration correction and preliminary results using a scattering sample are presented.

TL;DR: This chapter describes how the new concept of digital optics applied to the field of holographic microscopy has made it possible to quantitatively and accurately measure the phase retardation induced on the transmitted wavefront by the observed transparent specimen, allowing thus to develop a reliable and flexible digital holographic quantitative phase microscopy (DH-QPM).

TL;DR: Experimental results are presented to show that the phase distortion effects present in the output surface of the device can be reduced by using partially coherent readout illumination, and the correlation bandwidth obtained is smaller compared to VanderLugt filtering under quasi-monochromatic illumination.