CL2015003495A1 - Un proceso que permite eliminar el ruido de patrón fijo en imágenes efectivas formadas por arreglos de sensores electromagnéticos de un campo de luz mediante un reenfoque digital. - Google Patents

Un proceso que permite eliminar el ruido de patrón fijo en imágenes efectivas formadas por arreglos de sensores electromagnéticos de un campo de luz mediante un reenfoque digital.

Info

Publication number
CL2015003495A1
CL2015003495A1 CL2015003495A CL2015003495A CL2015003495A1 CL 2015003495 A1 CL2015003495 A1 CL 2015003495A1 CL 2015003495 A CL2015003495 A CL 2015003495A CL 2015003495 A CL2015003495 A CL 2015003495A CL 2015003495 A1 CL2015003495 A1 CL 2015003495A1
Authority
CL
Chile
Prior art keywords
allows
images formed
fixed pattern
pattern noise
elimination
Prior art date
Application number
CL2015003495A
Other languages
English (en)
Inventor
Rubilar Carlos Saavedra
Inostroza Sergio Neftalí Torres
Caro Pablo Antonio Coelho
Farias Jorge Eduardo Tapia
Venegas Fransciso German Perez
Original Assignee
Univ Concepcion
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Univ Concepcion filed Critical Univ Concepcion
Priority to CL2015003495A priority Critical patent/CL2015003495A1/es
Publication of CL2015003495A1 publication Critical patent/CL2015003495A1/es
Priority to US15/780,135 priority patent/US10891716B2/en
Priority to EP16869457.8A priority patent/EP3386188B1/en
Priority to PCT/CL2016/000049 priority patent/WO2017091914A1/es

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00—Image enhancement or restoration
    • G06T5/70—Denoising; Smoothing
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00—Image enhancement or restoration
    • G06T5/10—Image enhancement or restoration using non-spatial domain filtering
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/50—Depth or shape recovery
    • G06T7/55—Depth or shape recovery from multiple images
    • G06T7/557—Depth or shape recovery from multiple images from light fields, e.g. from plenoptic cameras
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N25/00—Circuitry of solid-state image sensors [SSIS]; Control thereof
    • H04N25/60—Noise processing, e.g. detecting, correcting, reducing or removing noise
    • H04N25/67—Noise processing, e.g. detecting, correcting, reducing or removing noise applied to fixed-pattern noise, e.g. non-uniformity of response
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N25/00—Circuitry of solid-state image sensors [SSIS]; Control thereof
    • H04N25/60—Noise processing, e.g. detecting, correcting, reducing or removing noise
    • H04N25/67—Noise processing, e.g. detecting, correcting, reducing or removing noise applied to fixed-pattern noise, e.g. non-uniformity of response
    • H04N25/671—Noise processing, e.g. detecting, correcting, reducing or removing noise applied to fixed-pattern noise, e.g. non-uniformity of response for non-uniformity detection or correction
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N25/00—Circuitry of solid-state image sensors [SSIS]; Control thereof
    • H04N25/60—Noise processing, e.g. detecting, correcting, reducing or removing noise
    • H04N25/67—Noise processing, e.g. detecting, correcting, reducing or removing noise applied to fixed-pattern noise, e.g. non-uniformity of response
    • H04N25/671—Noise processing, e.g. detecting, correcting, reducing or removing noise applied to fixed-pattern noise, e.g. non-uniformity of response for non-uniformity detection or correction
    • H04N25/673—Noise processing, e.g. detecting, correcting, reducing or removing noise applied to fixed-pattern noise, e.g. non-uniformity of response for non-uniformity detection or correction by using reference sources
    • H04N25/674—Noise processing, e.g. detecting, correcting, reducing or removing noise applied to fixed-pattern noise, e.g. non-uniformity of response for non-uniformity detection or correction by using reference sources based on the scene itself, e.g. defocusing
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10048—Infrared image
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10052—Images from lightfield camera
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20172—Image enhancement details
    • G06T2207/20182—Noise reduction or smoothing in the temporal domain; Spatio-temporal filtering

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Multimedia (AREA)
  • Signal Processing (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Studio Devices (AREA)
  • Solid State Image Pick-Up Elements (AREA)
  • Transforming Light Signals Into Electric Signals (AREA)
  • Image Processing (AREA)

Abstract

UN PROCESO QUE PERMITE ELIMINAR EL RUIDO DE PATRÓN FIJO EN IMÁGENES EFECTIVAS FORMADAS POR ARREGLOS DE SENSORES, QUE COMPRENDE: FORMAR UNA IMAGEN DIGITAL A PARTIR DE UN ARREGLO DE SENSORES ELECTROMAGNÉTICOS, FORMAR UN CAMPO DE LUZ, QUE DEBE TENER AL MENOS 2 X 2 IMÁGENES DIGITALES DE UNA ESCENA, CON UNA DISTANCIA DE SEPARACIÓN DE AL MENOS EL TAMAÑO DEL ÁREA EFECTIVA DE UN SENSOR ELECTROMAGNÉTICO, Y RECONSTRUIR UNA IMAGEN POR MEDIO DE UN REENFOQUE DIGITAL A PARTIR DEL CAMPO DE LUZ.
CL2015003495A 2015-11-30 2015-11-30 Un proceso que permite eliminar el ruido de patrón fijo en imágenes efectivas formadas por arreglos de sensores electromagnéticos de un campo de luz mediante un reenfoque digital. CL2015003495A1 (es)

Priority Applications (4)

Application Number Priority Date Filing Date Title
CL2015003495A CL2015003495A1 (es) 2015-11-30 2015-11-30 Un proceso que permite eliminar el ruido de patrón fijo en imágenes efectivas formadas por arreglos de sensores electromagnéticos de un campo de luz mediante un reenfoque digital.
US15/780,135 US10891716B2 (en) 2015-11-30 2016-08-25 Process allowing the removal through digital refocusing of fixed-pattern noise in effective images formed by electromagnetic sensor arrays in a light field
EP16869457.8A EP3386188B1 (en) 2015-11-30 2016-08-25 Process that permits the removal of fixed-pattern noise in effective images formed by arrangements of electromagnetic sensors of a light field by means of a digital refocusing
PCT/CL2016/000049 WO2017091914A1 (es) 2015-11-30 2016-08-25 Un proceso que permite eliminar el ruido de patrón fijo en imágenes efectivas formadas por arreglos de sensores electromagnéticos de un campo de luz mediante un reenfoque digital

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CL2015003495A CL2015003495A1 (es) 2015-11-30 2015-11-30 Un proceso que permite eliminar el ruido de patrón fijo en imágenes efectivas formadas por arreglos de sensores electromagnéticos de un campo de luz mediante un reenfoque digital.

Publications (1)

Publication Number Publication Date
CL2015003495A1 true CL2015003495A1 (es) 2016-07-15

Family

ID=56610106

Family Applications (1)

Application Number Title Priority Date Filing Date
CL2015003495A CL2015003495A1 (es) 2015-11-30 2015-11-30 Un proceso que permite eliminar el ruido de patrón fijo en imágenes efectivas formadas por arreglos de sensores electromagnéticos de un campo de luz mediante un reenfoque digital.

Country Status (4)

Country Link
US (1) US10891716B2 (es)
EP (1) EP3386188B1 (es)
CL (1) CL2015003495A1 (es)
WO (1) WO2017091914A1 (es)

Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP3754971B1 (en) * 2019-06-18 2021-08-25 Axis AB Updating a fixed pattern noise matrix
TWI709780B (zh) * 2020-01-21 2020-11-11 台灣骨王生技股份有限公司 紅外線鏡頭主動式成像校正裝置及方法

Family Cites Families (24)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4602291A (en) 1984-05-09 1986-07-22 Xerox Corporation Pixel non-uniformity correction system
US5047861A (en) 1990-07-31 1991-09-10 Eastman Kodak Company Method and apparatus for pixel non-uniformity correction
US5811808A (en) 1996-09-12 1998-09-22 Amber Engineering, Inc. Infrared imaging system employing on-focal plane nonuniformity correction
US6097394A (en) 1997-04-28 2000-08-01 Board Of Trustees, Leland Stanford, Jr. University Method and system for light field rendering
DE19816003C2 (de) 1998-04-09 2001-05-17 Aeg Infrarot Module Gmbh Verfahren zum Korrigieren der Grauwerte von Bildern einer digitalen Infrarot-Kamera
KR101134208B1 (ko) 2004-10-01 2012-04-09 더 보드 어브 트러스티스 어브 더 리랜드 스탠포드 주니어 유니버시티 촬상 장치 및 그 방법
KR101119969B1 (ko) * 2004-11-09 2012-02-22 삼성전자주식회사 디지털 카메라에서 고정 패턴 노이즈 제거 장치 및 방법
US7235773B1 (en) 2005-04-12 2007-06-26 Itt Manufacturing Enterprises, Inc. Method and apparatus for image signal compensation of dark current, focal plane temperature, and electronics temperature
US8358354B2 (en) 2009-01-26 2013-01-22 The Board Of Trustees Of The Leland Stanford Junior University Correction of optical abberations
US8248515B2 (en) 2006-02-07 2012-08-21 The Board Of Trustees Of The Leland Stanford Junior University Variable imaging arrangements and methods therefor
US7792423B2 (en) 2007-02-06 2010-09-07 Mitsubishi Electric Research Laboratories, Inc. 4D light field cameras
US7995859B2 (en) 2008-04-15 2011-08-09 Flir Systems, Inc. Scene based non-uniformity correction systems and methods
JP4900401B2 (ja) * 2008-05-16 2012-03-21 カシオ計算機株式会社 撮影装置およびプログラム
US8289440B2 (en) 2008-12-08 2012-10-16 Lytro, Inc. Light field data acquisition devices, and methods of using and manufacturing same
US7949252B1 (en) 2008-12-11 2011-05-24 Adobe Systems Incorporated Plenoptic camera with large depth of field
ATE551841T1 (de) 2009-04-22 2012-04-15 Raytrix Gmbh Digitales bildgebungsverfahren zum synthetisieren eines bildes unter verwendung der mit einer plenoptischen kamera aufgezeichneten daten
KR101608970B1 (ko) * 2009-11-27 2016-04-05 삼성전자주식회사 광 필드 데이터를 이용한 영상 처리 장치 및 방법
EP2403234A1 (en) * 2010-06-29 2012-01-04 Koninklijke Philips Electronics N.V. Method and system for constructing a compound image from data obtained by an array of image capturing devices
US8724000B2 (en) * 2010-08-27 2014-05-13 Adobe Systems Incorporated Methods and apparatus for super-resolution in integral photography
US8872111B2 (en) 2011-02-04 2014-10-28 Raytheon Company Infrared spatial modulator for scene-based non-uniformity image correction and systems and methods related thereto
EP2820838B1 (en) * 2012-05-09 2020-01-08 Lytro, Inc. Optimization of optical systems for improved light field capture and manipulation
JP5988790B2 (ja) * 2012-09-12 2016-09-07 キヤノン株式会社 画像処理装置、撮像装置、画像処理方法、および、画像処理プログラム
JP2014090401A (ja) * 2012-10-05 2014-05-15 Canon Inc 撮像システム及びその制御方法
US9519972B2 (en) * 2013-03-13 2016-12-13 Kip Peli P1 Lp Systems and methods for synthesizing images from image data captured by an array camera using restricted depth of field depth maps in which depth estimation precision varies

Also Published As

Publication number Publication date
EP3386188A1 (en) 2018-10-10
US10891716B2 (en) 2021-01-12
US20180365806A1 (en) 2018-12-20
EP3386188A4 (en) 2018-12-05
EP3386188B1 (en) 2022-03-02
WO2017091914A1 (es) 2017-06-08

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