WO2007095483A3 - Detection and removal of blemishes in digital images utilizing original images of defocused scenes - Google Patents

Detection and removal of blemishes in digital images utilizing original images of defocused scenes Download PDF

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Publication number
WO2007095483A3
WO2007095483A3 PCT/US2007/061964 US2007061964W WO2007095483A3 WO 2007095483 A3 WO2007095483 A3 WO 2007095483A3 US 2007061964 W US2007061964 W US 2007061964W WO 2007095483 A3 WO2007095483 A3 WO 2007095483A3
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WO
WIPO (PCT)
Prior art keywords
images
dust
acquired
regions
dust artifact
Prior art date
Application number
PCT/US2007/061964
Other languages
French (fr)
Other versions
WO2007095483A2 (en
Inventor
Eran Steinberg
Petronel Bigioi
Adrian Zamfir
Original Assignee
Fotonation Vision Ltd
Eran Steinberg
Petronel Bigioi
Adrian Zamfir
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 Fotonation Vision Ltd, Eran Steinberg, Petronel Bigioi, Adrian Zamfir filed Critical Fotonation Vision Ltd
Publication of WO2007095483A2 publication Critical patent/WO2007095483A2/en
Publication of WO2007095483A3 publication Critical patent/WO2007095483A3/en

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Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N1/00—Scanning, transmission or reproduction of documents or the like, e.g. facsimile transmission; Details thereof
    • H04N1/40—Picture signal circuits
    • H04N1/409—Edge or detail enhancement; Noise or error suppression
    • H04N1/4097—Removing errors due external factors, e.g. dust, scratches
    • G06T5/77—
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
    • G06V30/10—Character recognition
    • G06V30/14—Image acquisition
    • G06V30/148—Segmentation of character regions
    • G06V30/155—Removing patterns interfering with the pattern to be recognised, such as ruled lines or underlines
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/80—Camera processing pipelines; Components thereof
    • H04N23/81—Camera processing pipelines; Components thereof for suppressing or minimising disturbance in the image signal generation
    • H04N23/811—Camera processing pipelines; Components thereof for suppressing or minimising disturbance in the image signal generation by dust removal, e.g. from surfaces of the image sensor or processing of the image signal output by the electronic image sensor
    • 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
    • H04N25/61—Noise processing, e.g. detecting, correcting, reducing or removing noise the noise originating only from the lens unit, e.g. flare, shading, vignetting or "cos4"
    • 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
    • H04N25/68—Noise processing, e.g. detecting, correcting, reducing or removing noise applied to defects
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
    • G06V30/10—Character recognition

Abstract

A method automatically corrects dust artifact within images acquired by a system including a digital acquisition device including a lens assembly and a translucent lens cap. Multiple original digital images are acquired with the digital acquisition device (101). Probabilities that certain pixels correspond to dust artifact regions within the images are determined based at least in part on a comparison of suspected dust artifact regions within two or more of the images (140). Probable dust artifact regions are associated with extracted parameter values relating to the lens assembly when the images were acquired. A statistical dust map is formed including mapped dust regions based on the determining and associating (130). Pixels corresponding to correlated dust artifact regions are corrected within further digitally- acquired images based on the associated statistical dust map (400).
PCT/US2007/061964 2006-02-14 2007-02-11 Detection and removal of blemishes in digital images utilizing original images of defocused scenes WO2007095483A2 (en)

Applications Claiming Priority (4)

Application Number Priority Date Filing Date Title
US77371406P 2006-02-14 2006-02-14
US60/773,714 2006-02-14
US11/673,577 US7295233B2 (en) 2003-09-30 2007-02-10 Detection and removal of blemishes in digital images utilizing original images of defocused scenes
US11/673,577 2007-02-10

Publications (2)

Publication Number Publication Date
WO2007095483A2 WO2007095483A2 (en) 2007-08-23
WO2007095483A3 true WO2007095483A3 (en) 2008-12-18

Family

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Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/US2007/061964 WO2007095483A2 (en) 2006-02-14 2007-02-11 Detection and removal of blemishes in digital images utilizing original images of defocused scenes

Country Status (2)

Country Link
US (3) US7295233B2 (en)
WO (1) WO2007095483A2 (en)

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