Results 41 to 50 of about 586,449 (202)

A Robust Subpixel Motion Estimation Algorithm Using HOS in the Parametric Domain

EURASIP Journal on Image and Video Processing, 2009
Motion estimation techniques are widely used in todays video processing systems. The most frequently used techniques are the optical flow method and phase correlation method. The vast majority of these algorithms consider noise-free data.
Ibn-Elhaj E, Ismaili Aalaoui EM, Bouyakhf EH   +2 more
doaj   +2 more sources

Correlation Image Sensor-Assisted Single-Frame Optical Flow Estimation in Motion-Blurred Scenes

IEEE Access
Single-frame optical flow estimation is a more challenging task than predicting the optical flow between adjacent frames in a video. This paper presents a two-stream network that combines motion information from correlation images with appearance ...
Pan Wang, Toru Kurihara, Jun Yu
doaj   +1 more source

Cross Complementary Fusion Network for Video Salient Object Detection

IEEE Access, 2020
Recently, optical flow guided video saliency detection methods have achieved high performance. However, the computation cost of optical flow is usually expensive, which limits the applications of these methods in time-critical scenarios. In this article,
Ziyang Wang, Junxia Li, Zefeng Pan
doaj   +1 more source

Correlation Plenoptic Imaging With Entangled Photons

, 2016
Plenoptic imaging is a novel optical technique for three-dimensional imaging in a single shot. It is enabled by the simultaneous measurement of both the location and the propagation direction of light in a given scene.
D'Angelo, Milena, Di Lena, Francesco, Garuccio, Augusto, Pepe, Francesco V., Scarcelli, Giuliano   +4 more
core   +2 more sources

Optical memory disks in optical information processing [PDF]

, 1990
We describe the use of optical memory disks as elements in optical information processing architectures. The optical disk is an optical memory devicew ith a storage capacity approaching 1010b its which is naturally suited to parallel access.
Kobayashi, Seiji, Neifeld, Mark A., Psaltis, Demetri, Yamamura, Alan   +3 more
core  

Input-image homogenization as a method to improve a correlator's discrimination capability [PDF]

, 1998
We propose an input-image preprocessing method consisting of homogenization of the image to improve the discrimination capability of a correlation-based recognition process. This method is an approximation of the optimal filter.
Campos Coloma, Juan, López Coronado, Octavio, Yaroslavsky, Leonid P.   +2 more
core   +2 more sources

Quantum Correlation Enhanced Optical Imaging

Quantum Beam Science
Quantum correlations, especially time correlations, are crucial in ghost imaging in order to significantly reduce the background noise on the one hand while increasing the imaging resolution. Moreover, the time correlations serve as a critical reference, distinguishing between signal and noise, which in turn enable clear visualization of biological ...
Siddhant Vernekar, Jolly Xavier
openaire   +2 more sources

Sub‐Pixel Displacement Estimation With Deep Learning: Application to Optical Satellite Images Containing Sharp Displacements

Journal of Geophysical Research: Machine Learning and Computation
Optical image correlation is a powerful method for remotely constraining ground movement from optical satellite imagery related to natural disasters (e.g., earthquakes, volcanoes, landslides).
Tristan Montagnon, Sophie Giffard‐Roisin, Mauro Dalla Mura, Mathilde Marchandon, Erwan Pathier, James Hollingsworth   +5 more
doaj   +1 more source

Pengolahan Citra Obyek dari Balik Penghambur dengan Metoda Optik (Tapis Ruang) dan Metoda Digital (“Or Minimum”)

Journal of Mathematical and Fundamental Sciences, 2013
 In this paper, optical and digital methods are combined to improve the quality of the image obtained through a scattering medium. The optical method, using simply an imaging positive lens and a small circular spatial filter, succeded in the first stage
E. Juliastuti, A. Handojo, Bambang S. P. Abednego, Moedji Raharto   +3 more
doaj   +1 more source

Performance Testing of Optical Flow Time Series Analyses Based on a Fast, High-Alpine Landslide

Remote Sensing, 2022
Accurate remote analyses of high-alpine landslides are a key requirement for future alpine safety. In critical stages of alpine landslide evolution, UAS (unmanned aerial system) data can be employed using image registration to derive ground motion with ...
Doris Hermle, Michele Gaeta, Michael Krautblatter, Paolo Mazzanti, Markus Keuschnig   +4 more
doaj   +1 more source