MY127890A - Color image processing method and apparatus thereof - Google Patents

Color image processing method and apparatus thereof

Info

Publication number
MY127890A
MY127890A MYPI20000378A MYPI20000378A MY127890A MY 127890 A MY127890 A MY 127890A MY PI20000378 A MYPI20000378 A MY PI20000378A MY PI20000378 A MYPI20000378 A MY PI20000378A MY 127890 A MY127890 A MY 127890A
Authority
MY
Malaysia
Prior art keywords
processing method
image processing
color
pixels
color image
Prior art date
Application number
MYPI20000378A
Inventor
Hyun-Doo Shin
Yang-Lim Choi
Yining Deng
B S Manjunath
Original Assignee
Samsung Electronics Co Ltd
Univ California
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 Samsung Electronics Co Ltd, Univ California filed Critical Samsung Electronics Co Ltd
Publication of MY127890A publication Critical patent/MY127890A/en

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T1/00—General purpose image data processing
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00—Image enhancement or restoration
    • G06T5/20—Image enhancement or restoration using local operators
    • 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
    • G06T7/00—Image analysis
    • G06T7/90—Determination of colour characteristics
    • 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
    • G06V10/56—Extraction of image or video features relating to colour
    • 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
    • G06T2207/10024—Color 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
    • G06T2207/20—Special algorithmic details
    • G06T2207/20172—Image enhancement details
    • G06T2207/20192—Edge enhancement; Edge preservation

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Multimedia (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Image Processing (AREA)
  • Facsimile Image Signal Circuits (AREA)
  • Image Analysis (AREA)
  • Color Television Systems (AREA)

Abstract

A COLOR IMAGE PROCESSING METHOD AND APPARATUS THEREOF ARE PROVIDED.THE COLOR IMAGE PROCESSING METHOD INCLUDES THE STEPS OF (A) SORTING IMAGE PIXELS ACCORDING TO THE COLOR DISTANCE BETWEEN THE IMAGE PIXELS AND A CENTRAL PIXEL (104), (B) GROUPING THE SORTED PIXELS INTO GROUPS IN WHICH THE DIFFERENCE IN THE INTRAGROUP COLOR DISTANCE IS MINIMUM AND THE DIFFERENCE IN THE INTERGROUP COLOR DIFFERENCE IS MAXIMUM (106), AND (C) PERFORMING FILTERING BY REPLACING A CENTRAL PIXEL VALUE WITH A PREDETERMINED PIXEL VALUE DETERMINED BY PIXEL VALUES OF PIXELS IN THE GROUPS. THE COLOR IMAGE PROCESSING METHOD CAN REDUCE THE GENERATION OF EDGE BLURRING OF THE IMAGE IN REMOVING IMPULSE NOISE FROM AN IMAGE AND FILTERING THE SAME.(FIG.1A)
MYPI20000378A 1999-02-05 2000-02-03 Color image processing method and apparatus thereof MY127890A (en)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
US11874199P 1999-02-05 1999-02-05

Publications (1)

Publication Number Publication Date
MY127890A true MY127890A (en) 2006-12-29

Family

ID=22380461

Family Applications (1)

Application Number Title Priority Date Filing Date
MYPI20000378A MY127890A (en) 1999-02-05 2000-02-03 Color image processing method and apparatus thereof

Country Status (8)

Country Link
EP (1) EP1153364A4 (en)
JP (1) JP3558985B2 (en)
KR (1) KR100439697B1 (en)
CN (1) CN1209735C (en)
AU (1) AU2464500A (en)
MY (1) MY127890A (en)
TW (1) TW463133B (en)
WO (1) WO2000046749A1 (en)

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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR100378351B1 (en) * 2000-11-13 2003-03-29 삼성전자주식회사 Method and apparatus for measuring color-texture distance, and method and apparatus for sectioning image into a plurality of regions using the measured color-texture distance
JP3862613B2 (en) 2002-06-05 2006-12-27 キヤノン株式会社 Image processing apparatus, image processing method, and computer program
GB2400257A (en) * 2003-04-05 2004-10-06 Autodesk Canada Inc Removal of grain
US7372991B2 (en) 2003-09-26 2008-05-13 Seiko Epson Corporation Method and apparatus for summarizing and indexing the contents of an audio-visual presentation
US20060103892A1 (en) * 2004-11-18 2006-05-18 Schulze Mark A System and method for a vector difference mean filter for noise suppression
EP1917640A2 (en) 2005-08-17 2008-05-07 Nxp B.V. Method and arrangement for suppressing noise in digital signal sequences, and a corresponding computer program and a corresponding computer-readable storage medium
JP4001162B2 (en) * 2005-11-04 2007-10-31 オムロン株式会社 Image processing method, image processing program and storage medium therefor, and image processing apparatus
US7952646B2 (en) * 2006-12-27 2011-05-31 Intel Corporation Method and apparatus for content adaptive spatial-temporal motion adaptive noise reduction
CN101546425B (en) * 2009-05-05 2011-04-13 广东工业大学 A vector filtering method of double-threshold type color image
KR101290200B1 (en) * 2012-02-13 2013-07-30 중앙대학교 산학협력단 Apparatus and method for reducing impulse noise
CN103778611B (en) * 2014-01-26 2016-08-17 天津大学 Utilize the switch weight vectors median filter method of rim detection
CN105809630B (en) * 2014-12-30 2019-03-12 展讯通信(天津)有限公司 A kind of picture noise filter method and system
CN104899899A (en) * 2015-06-12 2015-09-09 天津大学 Color quantification method based on density peak value
CN113298790B (en) * 2021-05-31 2023-05-05 奥比中光科技集团股份有限公司 Image filtering method, device, terminal and computer readable storage medium

Family Cites Families (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4541116A (en) * 1984-02-27 1985-09-10 Environmental Research Institute Of Mi Neighborhood image processing stage for implementing filtering operations
US4783840A (en) * 1987-12-04 1988-11-08 Polaroid Corporation Method for enhancing image data by noise reduction or sharpening
US5222154A (en) * 1991-06-12 1993-06-22 Hewlett-Packard Company System and method for spot color extraction
US5684897A (en) * 1992-02-19 1997-11-04 Ezel Inc. Method for quantizing color image data by minimizing least squares error of binary coding
KR0149517B1 (en) * 1992-07-18 1998-10-15 강진구 Multi-step type nonlinear filter for detecting edge and eliminating noise
KR100230254B1 (en) * 1996-04-17 1999-11-15 윤종용 Circuit and method for reducing a noise
KR100219544B1 (en) * 1997-05-26 1999-09-01 윤종용 Selectivity bandwidth pass filter
JPH1188705A (en) * 1997-09-11 1999-03-30 Matsushita Electric Ind Co Ltd Image reader

Also Published As

Publication number Publication date
WO2000046749A1 (en) 2000-08-10
KR20010113666A (en) 2001-12-28
AU2464500A (en) 2000-08-25
JP3558985B2 (en) 2004-08-25
EP1153364A1 (en) 2001-11-14
KR100439697B1 (en) 2004-07-14
EP1153364A4 (en) 2002-10-30
CN1341246A (en) 2002-03-20
TW463133B (en) 2001-11-11
JP2002536749A (en) 2002-10-29
CN1209735C (en) 2005-07-06

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