Results 11 to 20 of about 3,360 (241)
Inline hologram reconstruction with sparsity constraints [PDF]
Optics Letters, 2009 Inline digital holograms are classically reconstructed using linear operators to model diffraction. It has long been recognized that such reconstruction operators do not invert the hologram formation operator. Classical linear reconstructions yield images with artifacts such as distortions near the field-of-view boundaries or twin images.
Denis, Loïc +4 more
openaire +5 more sources
Monochrome Image Hologram (MIH)
مجلة بغداد للعلوم, 2008 A new computer-generated optical element called a monochrome image hologram (MIH) is described. A real nonnegative function to represent the transmittance of a synthesized hologram is used.
Baghdad Science Journal
doaj +3 more sources
Sensors, 2021 This paper proposes a method to embed and extract a watermark on a digital hologram using a deep neural network. The entire algorithm for watermarking digital holograms consists of three sub-networks.
Ji-Won Kang +6 more
doaj +2 more sources
Sub-Terahertz Computer Generated Hologram with Two Image Planes
Applied Sciences, 2019 An advanced optical structure such as a synthetic hologram (also called a computer-generated hologram) is designed for sub-terahertz radiation. The detailed design process is carried out using the ping-pong method, which is based on the modified ...
Mateusz Surma +3 more
doaj +2 more sources
مجلة بغداد للعلوم, 2008 This paper present a study about effect of the random phase and expansion of the scale sampling factors to improve the monochrome image hologram and compared it with previous produced others.
Baghdad Science Journal
doaj +4 more sources
In-line hologram reconstruction using Hartley transform
Applied Optics, 2011 In reconstruction of in-line recorded holograms, zero-order and conjugate images appear on the same physical location as the object image. Here we propose a method, new to our knowledge, to separate the object image from the others by using two quadrature phase-shifted holograms.
Özcan, Meriç, Meriç Özcan
openaire +5 more sources
Fourier Imager Network (FIN): A deep neural network for hologram reconstruction with superior external generalization. [PDF]
Light Sci Appl, 2022 Deep learning-based image reconstruction methods have achieved remarkable success in phase recovery and holographic imaging. However, the generalization of their image reconstruction performance to new types of samples never seen by the network remains a
Chen H, Huang L, Liu T, Ozcan A.
europepmc +2 more sources
Comprehensive deep learning model for 3D color holography
Scientific Reports, 2022 Holography is a vital tool used in various applications from microscopy, solar energy, imaging, display to information encryption. Generation of a holographic image and reconstruction of object/hologram information from a holographic image using the ...
Alim Yolalmaz, Emre Yüce
doaj +1 more source
Journal of Marine Science and Engineering, 2023 In this paper, we study the variations of holograms of a moving source in an inhomogeneous ocean waveguide. It is assumed that intense internal waves (internal solitons) are the reason for the inhomogeneities of the shallow water waveguide.
Sergey Pereselkov +5 more
doaj +1 more source
Robust Holographic Reconstruction by Deep Learning with One Frame
Photonics, 2023 A robust method is proposed to reconstruct images with only one hologram in digital holography by introducing a deep learning (DL) network. The U-net neural network is designed according to DL principles and trained by the image data set collected using ...
Xianfeng Xu +3 more
doaj +1 more source