Noise Enhanced Imaging of Weak Objects

A method that allows the imaging of weak objects is demonstrated through the use of additive noise. Additive noise (characterized using a variance parameter a) is used to drive the intensity of the test object so that a threshold detector detects it. Performing the simulation with a sufficiently lar...

Full description

Bibliographic Details
Main Authors: Stephen Daedalus Separa, Giovanni Tapang, May Lim, Caesar Saloma
Format: Article
Language:English
Published: University of the Philippines 1999-12-01
Series:Science Diliman
Subjects:
Online Access:http://journals.upd.edu.ph/index.php/sciencediliman/article/view/240
_version_ 1818525788234842112
author Stephen Daedalus Separa
Giovanni Tapang
May Lim
Caesar Saloma
author_facet Stephen Daedalus Separa
Giovanni Tapang
May Lim
Caesar Saloma
author_sort Stephen Daedalus Separa
collection DOAJ
description A method that allows the imaging of weak objects is demonstrated through the use of additive noise. Additive noise (characterized using a variance parameter a) is used to drive the intensity of the test object so that a threshold detector detects it. Performing the simulation with a sufficiently large number of trials decreases the optimum value of noise required for a good image quality.
first_indexed 2024-12-11T06:13:42Z
format Article
id doaj.art-b73f29a0f5094c9fb5362b11b21ac554
institution Directory Open Access Journal
issn 0115-7809
2012-0818
language English
last_indexed 2024-12-11T06:13:42Z
publishDate 1999-12-01
publisher University of the Philippines
record_format Article
series Science Diliman
spelling doaj.art-b73f29a0f5094c9fb5362b11b21ac5542022-12-22T01:18:02ZengUniversity of the PhilippinesScience Diliman0115-78092012-08181999-12-011122932Noise Enhanced Imaging of Weak ObjectsStephen Daedalus SeparaGiovanni TapangMay LimCaesar SalomaA method that allows the imaging of weak objects is demonstrated through the use of additive noise. Additive noise (characterized using a variance parameter a) is used to drive the intensity of the test object so that a threshold detector detects it. Performing the simulation with a sufficiently large number of trials decreases the optimum value of noise required for a good image quality.http://journals.upd.edu.ph/index.php/sciencediliman/article/view/240noise ditheringimage recovery
spellingShingle Stephen Daedalus Separa
Giovanni Tapang
May Lim
Caesar Saloma
Noise Enhanced Imaging of Weak Objects
Science Diliman
noise dithering
image recovery
title Noise Enhanced Imaging of Weak Objects
title_full Noise Enhanced Imaging of Weak Objects
title_fullStr Noise Enhanced Imaging of Weak Objects
title_full_unstemmed Noise Enhanced Imaging of Weak Objects
title_short Noise Enhanced Imaging of Weak Objects
title_sort noise enhanced imaging of weak objects
topic noise dithering
image recovery
url http://journals.upd.edu.ph/index.php/sciencediliman/article/view/240
work_keys_str_mv AT stephendaedalussepara noiseenhancedimagingofweakobjects
AT giovannitapang noiseenhancedimagingofweakobjects
AT maylim noiseenhancedimagingofweakobjects
AT caesarsaloma noiseenhancedimagingofweakobjects