WO2009065151A3 - Method for image quality assessment using quality vectors - Google Patents

Method for image quality assessment using quality vectors Download PDF

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Publication number
WO2009065151A3
WO2009065151A3 PCT/US2008/084305 US2008084305W WO2009065151A3 WO 2009065151 A3 WO2009065151 A3 WO 2009065151A3 US 2008084305 W US2008084305 W US 2008084305W WO 2009065151 A3 WO2009065151 A3 WO 2009065151A3
Authority
WO
WIPO (PCT)
Prior art keywords
quality
vectors
image
image quality
assessment
Prior art date
Application number
PCT/US2008/084305
Other languages
French (fr)
Other versions
WO2009065151A2 (en
Inventor
Chris Honsinger
Paul Jones
Robert Mccomb
Original Assignee
Certifi Media Inc
Chris Honsinger
Paul Jones
Robert Mccomb
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
Priority claimed from US11/940,347 external-priority patent/US8488834B2/en
Priority claimed from US12/274,438 external-priority patent/US8126197B2/en
Application filed by Certifi Media Inc, Chris Honsinger, Paul Jones, Robert Mccomb filed Critical Certifi Media Inc
Publication of WO2009065151A2 publication Critical patent/WO2009065151A2/en
Publication of WO2009065151A3 publication Critical patent/WO2009065151A3/en

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/0002Inspection of images, e.g. flaw detection
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/98Detection or correction of errors, e.g. by rescanning the pattern or by human intervention; Evaluation of the quality of the acquired patterns
    • G06V10/993Evaluation of the quality of the acquired pattern
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30168Image quality inspection

Landscapes

  • Engineering & Computer Science (AREA)
  • Quality & Reliability (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Multimedia (AREA)
  • Image Analysis (AREA)
  • Testing, Inspecting, Measuring Of Stereoscopic Televisions And Televisions (AREA)
  • Image Processing (AREA)

Abstract

A method for assessing the image quality of image data acquires image data, segments the image data into at least one spatial region, obtains a plurality of image quality measures for the at least one spatial region, and forms at least one quality vector that has two or more quality measures for the at least one spatial region. The at least one quality vector is classified into one of a plurality of predefined quality classes.
PCT/US2008/084305 2007-11-15 2008-11-21 Method for image quality assessment using quality vectors WO2009065151A2 (en)

Applications Claiming Priority (6)

Application Number Priority Date Filing Date Title
US11/940,347 US8488834B2 (en) 2007-11-15 2007-11-15 Method for making an assured image
US11/940,347 2007-11-15
US99092507P 2007-11-29 2007-11-29
US60/990,925 2007-11-29
US12/274,438 2008-11-20
US12/274,438 US8126197B2 (en) 2007-11-29 2008-11-20 Method for image quality assessment using quality vectors

Publications (2)

Publication Number Publication Date
WO2009065151A2 WO2009065151A2 (en) 2009-05-22
WO2009065151A3 true WO2009065151A3 (en) 2009-08-20

Family

ID=40639496

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/US2008/084305 WO2009065151A2 (en) 2007-11-15 2008-11-21 Method for image quality assessment using quality vectors

Country Status (1)

Country Link
WO (1) WO2009065151A2 (en)

Families Citing this family (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
AU2011200831B8 (en) 2011-02-25 2013-10-31 Canon Kabushiki Kaisha Dynamic thresholds for document tamper detection
IL226219A (en) * 2013-05-07 2016-10-31 Picscout (Israel) Ltd Efficient image matching for large sets of images
WO2016145571A1 (en) * 2015-03-13 2016-09-22 深圳大学 Method for blind image quality assessment based on conditional histogram codebook
WO2018071768A1 (en) 2016-10-14 2018-04-19 ID Metrics Group Incorporated Tamper detection for identification documents
CN109785343B (en) * 2019-01-17 2021-10-19 深圳英飞拓科技股份有限公司 Definition-based face matting picture optimization method and device
CN113361673B (en) * 2021-01-18 2022-07-15 南昌航空大学 Color two-dimensional code anti-counterfeiting method based on support vector machine

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2000062556A1 (en) * 1999-04-13 2000-10-19 Sarnoff Corporation Method and apparatus for estimating digital video quality without using a reference video
US6778702B1 (en) * 2000-09-19 2004-08-17 Bae Systems Mission Solutions Inc. Method and apparatus for assessing the quality of spectral images
US20050089246A1 (en) * 2003-10-27 2005-04-28 Huitao Luo Assessing image quality

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2000062556A1 (en) * 1999-04-13 2000-10-19 Sarnoff Corporation Method and apparatus for estimating digital video quality without using a reference video
US6778702B1 (en) * 2000-09-19 2004-08-17 Bae Systems Mission Solutions Inc. Method and apparatus for assessing the quality of spectral images
US20050089246A1 (en) * 2003-10-27 2005-04-28 Huitao Luo Assessing image quality

Also Published As

Publication number Publication date
WO2009065151A2 (en) 2009-05-22

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