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Optical parametric amplification is a second-order nonlinear process whereby an optical signal is amplified by a pump via the generation of an idler field. It is the key ingredient of tunable sources of radiation that play an important role…

We propose an enhanced spatial modulation (SM)-based scheme for indoor visible light communication systems. This scheme enhances the achievable throughput of conventional SM schemes by transmitting higher order complex modulation symbol,…

Signal Processing · Electrical Eng. & Systems 2022-01-21 Shimaa Naser , Lina Bariah , Sami Muhaidat , Mahmoud Al-Qutayri , Paschalis C. Sofotasios

We present a deterministic framework for three-dimensional beam shaping that enables versatile control of intensity and phase, pixel-by-pixel, across multiple axial planes. Conventional multi-plane holographic techniques typically rely on…

Optical parametric amplification (OPA) comprises essentially a nonlinear four-wave mixing process in which a "pump" and a "signal" field give rise to an "idler" field under certain phase-matching conditions. Here we use a photonic crystal…

We theoretically study and experimentally demonstrate controlled generation of spatial modes of light via stimulated parametric downconversion (StimPDC) by transferring the spatial structure of a pump beam to the stimulated idler beam. We…

Digital array orthogonal transformations that can be presented as a decomposition over basis items or basis images are considered. The orthogonal transform provides digital data scattering, a process of pixel energy redistributing, that is…

Multimedia · Computer Science 2019-01-24 V. N. Gorbachev , L. A. Denisov , E. M. Kaynarova , I. K. Metelev , E. S. Yakovleva

The rise of variational autoencoders for image and video compression has opened the door to many elaborate coding techniques. One example here is the possibility of conditional interframe coding. Here, instead of transmitting the residual…

Information Theory · Computer Science 2022-12-14 Fabian Brand , Jürgen Seiler , André Kaup

With the development of computer vision, 3D object detection has become increasingly important in many real-world applications. Limited by the computing power of sensor-side hardware, the detection task is sometimes deployed on remote…

Image and Video Processing · Electrical Eng. & Systems 2025-02-19 Zijian Cao , Hua Zhang , Le Liang , Haotian Wang , Shi Jin , Geoffrey Ye Li

Traditional image compression methods aim to reconstruct images for human perception, prioritizing visual fidelity over task relevance. In contrast, Coding for Machines focuses on preserving information essential for automated…

Image and Video Processing · Electrical Eng. & Systems 2025-10-16 Stefano Della Fiore , Alessandro Gnutti , Marco Dalai , Pierangelo Migliorati , Riccardo Leonardi

This study focuses on (traditional and unsourced) multiple-access communication over a single transmit and multiple ($M$) receive antennas. We assume full or partial channel state information (CSI) at the receiver. It is known that to fully…

Information Theory · Computer Science 2023-07-04 Alexander Fengler , Alejandro Lancho , Yury Polyanskiy

Object co-segmentation is to segment the shared objects in multiple relevant images, which has numerous applications in computer vision. This paper presents a spatial and semantic modulated deep network framework for object co-segmentation.…

Computer Vision and Pattern Recognition · Computer Science 2019-12-02 Kaihua Zhang , Jin Chen , Bo Liu , Qingshan Liu

Orthogonal approximate message-passing (OAMP) is proposed for signal recovery from right-orthogonally invariant linear measurements with spatial coupling. Conventional state evolution is generalized to a unified framework of state evolution…

Information Theory · Computer Science 2023-05-22 Keigo Takeuchi

The past decades have witnessed the rapid development of image and video coding techniques in the era of big data. However, the signal fidelity-driven coding pipeline design limits the capability of the existing image/video coding…

Computer Vision and Pattern Recognition · Computer Science 2020-01-13 Yueyu Hu , Shuai Yang , Wenhan Yang , Ling-Yu Duan , Jiaying Liu

In this paper, we propose a practical adaptive coding modulation scheme to approach the capacity of free-space optical (FSO) channels with intensity modulation/direct detection based on probabilistic shaping. The encoder efficiently adapts…

Information Theory · Computer Science 2020-12-01 Ahmed Elzanaty , Mohamed-Slim Alouini

Photon-pair correlations in spontaneous parametric down conversion are ubiquitous in quantum photonics. The ability to engineer their properties for optimising a specific task is essential, but often challenging in practice. We demonstrate…

Quantum Physics · Physics 2024-03-11 Chloé Vernière , Hugo Defienne

The rich structure of transverse spatial modes of structured light has facilitated their extensive applications in quantum information and optical communication. The Laguerre-Gaussian (LG) modes, which carry a well-defined orbital angular…

Receiver diversity combining methods play a key role in combating the detrimental effects of fadingin wireless communication and other applications. A novel diversity combining method is proposedwhere a universal, i.e., channel independent,…

Information Theory · Computer Science 2018-05-01 Elad Domanovitz , Uri Erez

We obtained the phase and intensity images of an object by detecting classical light which never interacted with it. With a double passage of a pump and a signal laser beams through a nonlinear crystal, we observe interference between the…

The Object-Based Image Coding (OBIC) that was extensively studied about two decades ago, promised a vast application perspective for both ultra-low bitrate communication and high-level semantical content understanding, but it had rarely…

Image and Video Processing · Electrical Eng. & Systems 2020-03-20 Qi Xia , Haojie Liu , Zhan Ma