Software for "Realistic limits for subpixel movement detection"
Please use this identifier to cite or link to this item:
http://hdl.handle.net/10045/53726
Title: | Software for "Realistic limits for subpixel movement detection" |
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Authors: | Mas, David | Pérez Rodríguez, Jorge | Ferrer, Belén | Espinosa, Julián |
Research Group/s: | Óptica y Ciencias de la Visión | Grupo de Ensayo, Simulación y Modelización de Estructuras (GRESMES) |
Center, Department or Service: | Universidad de Alicante. Departamento de Óptica, Farmacología y Anatomía | Universidad de Alicante. Departamento de Ingeniería Civil | Universidad de Alicante. Instituto Universitario de Física Aplicada a las Ciencias y las Tecnologías |
Keywords: | Image processing | Subpixel detection |
Knowledge Area: | Óptica | Mecánica de Medios Continuos y Teoría de Estructuras |
Date Created: | 15-Mar-2016 |
Issue Date: | 16-Mar-2016 |
Abstract: | Object tracking with subpixel accuracy is of fundamental importance in many fields since it provides optimal performance at relatively low-cost. Although there are many theoretical proposals that lead to resolution increments of several orders of magnitude, in practice, this resolution is limited by the imaging systems. In this paper we propose and demonstrate through numerical models a realistic limit for subpixel accuracy. The final result is that maximum achievable resolution enhancement is connected with the dynamic range of the image, i.e. the detection limit is 1/2^(nr.bits). Results here presented may help to proper design of superresolution experiments in microscopy, surveillance, defense and other fields. |
URI: | http://hdl.handle.net/10045/53726 |
Language: | eng |
Type: | software |
Rights: | Licencia Creative Commons Reconocimiento-NoComercial-CompartirIgual 4.0 |
Peer Review: | no |
Appears in Collections: | INV - IMAOS+V - Software y Aplicaciones |
Files in This Item:
File | Description | Size | Format | |
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subpix_detect1d.txt | 1,98 kB | Text | Open | |
This item is licensed under a Creative Commons License