REDUCING NOISE IN DIGITAL IMAGES

A target digital image is received from an image sensor. The image is contaminated by noise of unknown magnitude that is represented by a reference digital image. A process is applied that uses statistical analysis of the target digital image and of the reference digital image to estimate a magnitud...

Full description

Saved in:
Bibliographic Details
Main Authors KABELEV NIKOLAI, GUTKOWICZ-KRUSIN DINA
Format Patent
LanguageEnglish
Published 28.06.2012
Subjects
Online AccessGet full text

Cover

Loading…
Abstract A target digital image is received from an image sensor. The image is contaminated by noise of unknown magnitude that is represented by a reference digital image. A process is applied that uses statistical analysis of the target digital image and of the reference digital image to estimate a magnitude of the noise for at least some pixels of the target digital image.
AbstractList A target digital image is received from an image sensor. The image is contaminated by noise of unknown magnitude that is represented by a reference digital image. A process is applied that uses statistical analysis of the target digital image and of the reference digital image to estimate a magnitude of the noise for at least some pixels of the target digital image.
Author GUTKOWICZ-KRUSIN DINA
KABELEV NIKOLAI
Author_xml – fullname: KABELEV NIKOLAI
– fullname: GUTKOWICZ-KRUSIN DINA
BookMark eNrjYmDJy89L5WRQCHJ1CXX29HNX8PP3DHZV8PRTcPF09wxx9FHw9HV0dw3mYWBNS8wpTuWF0twMym6uIc4euqkF-fGpxQWJyal5qSXxocFGBoZGhmZGJhbmjobGxKkCAEUBJFU
ContentType Patent
DBID EVB
DatabaseName esp@cenet
DatabaseTitleList
Database_xml – sequence: 1
  dbid: EVB
  name: esp@cenet
  url: http://worldwide.espacenet.com/singleLineSearch?locale=en_EP
  sourceTypes: Open Access Repository
DeliveryMethod fulltext_linktorsrc
Discipline Medicine
Chemistry
Sciences
ExternalDocumentID US2012162487A1
GroupedDBID EVB
ID FETCH-epo_espacenet_US2012162487A13
IEDL.DBID EVB
IngestDate Fri Aug 23 06:52:05 EDT 2024
IsOpenAccess true
IsPeerReviewed false
IsScholarly false
Language English
LinkModel DirectLink
MergedId FETCHMERGED-epo_espacenet_US2012162487A13
Notes Application Number: US201213409397
OpenAccessLink https://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20120628&DB=EPODOC&CC=US&NR=2012162487A1
ParticipantIDs epo_espacenet_US2012162487A1
PublicationCentury 2000
PublicationDate 20120628
PublicationDateYYYYMMDD 2012-06-28
PublicationDate_xml – month: 06
  year: 2012
  text: 20120628
  day: 28
PublicationDecade 2010
PublicationYear 2012
RelatedCompanies GUTKOWICZ-KRUSIN DINA
KABELEV NIKOLAI
MELA SCIENCES, INC., A DELAWARE CORPORATION
RelatedCompanies_xml – name: KABELEV NIKOLAI
– name: MELA SCIENCES, INC., A DELAWARE CORPORATION
– name: GUTKOWICZ-KRUSIN DINA
Score 2.8520212
Snippet A target digital image is received from an image sensor. The image is contaminated by noise of unknown magnitude that is represented by a reference digital...
SourceID epo
SourceType Open Access Repository
SubjectTerms DIAGNOSIS
ELECTRIC COMMUNICATION TECHNIQUE
ELECTRICITY
HUMAN NECESSITIES
HYGIENE
IDENTIFICATION
MEDICAL OR VETERINARY SCIENCE
PICTORIAL COMMUNICATION, e.g. TELEVISION
SURGERY
Title REDUCING NOISE IN DIGITAL IMAGES
URI https://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20120628&DB=EPODOC&locale=&CC=US&NR=2012162487A1
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV1LS8NAEB5KFfWmVbFaZUHJLWjzanIIkubVFZOUJpXeSrLZgCC12Ih_39mQak-97e7A7AO-nZndeQA8MD2vitxkMme5JWusUGWrzEu5MrVSKdXKNAwRKBzFxmSuvSz0RQc-trEwTZ7QnyY5IiKKId7r5r5e_z9ieY1v5eaxeMehz-cgsz2ptY6HiggJlLyx7U8TL3El17XnqRTPGtrQUFA9d9BWOkBFeiTw4L-NRVzKeleoBKdwOEV-q_oMOnzVg2N3W3utB0dR--WNzRZ9m3MgM1Enh8YhiROa-oTGxKMhzZxXQiMn9NMLuA_8zJ3IONXyb2fLebq7LvUSumjz8ysgao6yi2sCj4b2xPWisnRVL7mpM4Yq3agPg32crveTb-BEdIXHk2IOoFt_ffNblK11cdccyS_qeHm9
link.rule.ids 230,309,783,888,25576,76876
linkProvider European Patent Office
linkToHtml http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV1LS8NAEB5KFetNq2K1akDJLWjzanII0iZpu5pHaRLpLSSbDQhSi434950NqfbU27IDsw_4dmZ259sBeKBaVuaZQSVGM1NSaa5IZpEVUmmohVwopaHrnCjsB_osUV-W2rIFH1suTP1P6E_9OSIiiiLeq_q8Xv9fYjl1buXmMX_Hrs_nSWw5YhMdD2ROCRSdseXOQye0Rdu2kkgMFrVsoMvono8wVjpAJ3vI8eC-jTkvZb1rVCYncDhHfavqFFps1YWOva291oUjv3nyxmaDvs0ZCAteJ4cEUyEISeQKJBAcMiXxyBOIP5q60TncT9zYnkk4VPq3sjSJduelXEAbY352CYKSoe1iKsejrj4xLS9NTdEKZmiUoks37EF_n6ar_eI76Mxi30s9ErxewzEX8ewn2ehDu_r6ZjdoZ6v8tt6eX8qrfLA
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Apatent&rft.title=REDUCING+NOISE+IN+DIGITAL+IMAGES&rft.inventor=KABELEV+NIKOLAI&rft.inventor=GUTKOWICZ-KRUSIN+DINA&rft.date=2012-06-28&rft.externalDBID=A1&rft.externalDocID=US2012162487A1