MX2016013522A - Estimacion de calidad de imagen que utiliza una porcion de imagen de referencia. - Google Patents

Estimacion de calidad de imagen que utiliza una porcion de imagen de referencia.

Info

Publication number
MX2016013522A
MX2016013522A MX2016013522A MX2016013522A MX2016013522A MX 2016013522 A MX2016013522 A MX 2016013522A MX 2016013522 A MX2016013522 A MX 2016013522A MX 2016013522 A MX2016013522 A MX 2016013522A MX 2016013522 A MX2016013522 A MX 2016013522A
Authority
MX
Mexico
Prior art keywords
image
subset
pixels
quality estimation
image quality
Prior art date
Application number
MX2016013522A
Other languages
English (en)
Inventor
Ruth Reibman Amy
Liu Zhu
Begeja Lee
S Renger Bernard
Crawford Gibbon David
Shahraray Behzad
ZAVESKY Eric
GOPALAN Raghuraman
Original Assignee
At & T Ip I Lp
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 At & T Ip I Lp filed Critical At & T Ip I Lp
Publication of MX2016013522A publication Critical patent/MX2016013522A/es

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/0002—Inspection of images, e.g. flaw detection
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/22—Matching criteria, e.g. proximity measures
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/24—Classification techniques
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/40—Extraction of image or video features
    • G06V10/46—Descriptors for shape, contour or point-related descriptors, e.g. scale invariant feature transform [SIFT] or bags of words [BoW]; Salient regional features
    • G06V10/462—Salient features, e.g. scale invariant feature transforms [SIFT]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/74—Image or video pattern matching; Proximity measures in feature spaces
    • G06V10/75—Organisation of the matching processes, e.g. simultaneous or sequential comparisons of image or video features; Coarse-fine approaches, e.g. multi-scale approaches; using context analysis; Selection of dictionaries
    • G06V10/751—Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching
    • 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
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30168—Image quality inspection

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Evolutionary Computation (AREA)
  • Multimedia (AREA)
  • Artificial Intelligence (AREA)
  • Data Mining & Analysis (AREA)
  • Quality & Reliability (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • General Engineering & Computer Science (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Computing Systems (AREA)
  • Databases & Information Systems (AREA)
  • Evolutionary Biology (AREA)
  • Medical Informatics (AREA)
  • Software Systems (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Image Analysis (AREA)
  • Testing, Inspecting, Measuring Of Stereoscopic Televisions And Televisions (AREA)
  • Studio Devices (AREA)

Abstract

Un método particular incluye recibir un conjunto de imágenes, donde cada imagen del conjunto de imágenes está relacionada con una escena común. El método también incluye determinar un primer subconjunto de pixeles de una primera imagen del conjunto, donde el primer subconjunto de píxeles corresponde a un segundo subconjunto de píxeles de una segunda imagen del conjunto. El método incluye además generar una primera estimación de calidad de imagen de la primera imagen con base en una comparación del primer subconjunto de píxeles y el segundo subconjunto de píxeles.
MX2016013522A 2014-05-14 2015-04-20 Estimacion de calidad de imagen que utiliza una porcion de imagen de referencia. MX2016013522A (es)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US14/277,329 US10026010B2 (en) 2014-05-14 2014-05-14 Image quality estimation using a reference image portion
PCT/US2015/026654 WO2015175159A1 (en) 2014-05-14 2015-04-20 Image quality estimation using a reference image portion

Publications (1)

Publication Number Publication Date
MX2016013522A true MX2016013522A (es) 2017-05-09

Family

ID=53053104

Family Applications (1)

Application Number Title Priority Date Filing Date
MX2016013522A MX2016013522A (es) 2014-05-14 2015-04-20 Estimacion de calidad de imagen que utiliza una porcion de imagen de referencia.

Country Status (3)

Country Link
US (2) US10026010B2 (es)
MX (1) MX2016013522A (es)
WO (1) WO2015175159A1 (es)

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Also Published As

Publication number Publication date
WO2015175159A1 (en) 2015-11-19
US10026010B2 (en) 2018-07-17
US10922580B2 (en) 2021-02-16
US20150332123A1 (en) 2015-11-19
US20180300586A1 (en) 2018-10-18

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