KR100327386B1 - Two-dimensional noise filter - Google Patents

Two-dimensional noise filter Download PDF

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Publication number
KR100327386B1
KR100327386B1 KR1020000041114A KR20000041114A KR100327386B1 KR 100327386 B1 KR100327386 B1 KR 100327386B1 KR 1020000041114 A KR1020000041114 A KR 1020000041114A KR 20000041114 A KR20000041114 A KR 20000041114A KR 100327386 B1 KR100327386 B1 KR 100327386B1
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KR
South Korea
Prior art keywords
dispersion
noise
input pixel
threshold
signal
Prior art date
Application number
KR1020000041114A
Other languages
Korean (ko)
Inventor
Sung Hoon Hong
Original Assignee
Lg Electronics Inc
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.)
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Publication date
Application filed by Lg Electronics Inc filed Critical Lg Electronics Inc
Priority to KR1020000041114A priority Critical patent/KR100327386B1/en
Application granted granted Critical
Publication of KR100327386B1 publication Critical patent/KR100327386B1/en

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Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N5/00—Details of television systems
    • H04N5/14—Picture signal circuitry for video frequency region
    • H04N5/21—Circuitry for suppressing or minimising disturbance, e.g. moiré or halo
    • H04N5/213—Circuitry for suppressing or minimising impulsive noise
    • 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

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  • Engineering & Computer Science (AREA)
  • Multimedia (AREA)
  • Signal Processing (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Picture Signal Circuits (AREA)
  • Image Processing (AREA)

Abstract

PURPOSE: A two-dimensional noise filter is provided to powerfully eliminate noise for flat image regions and maintain video signals for detailed image regions more successfully to improve picture quality. CONSTITUTION: A two-dimensional noise filter includes a local dispersion calculator(101), a noise dispersion determination unit(103), a signal dispersion estimator(102), a threshold calculator(104), and a filter(105). The local dispersion calculator calculates local dispersion with respect to an input pixel having an arbitrary dimension. The noise dispersion determination unit detects noise dispersion with respect to the input pixel. The signal dispersion estimator receives the local dispersion and the noise dispersion to estimate dispersion of the original signal having no noise. The threshold calculator adaptively determines a threshold according to a variation in the dispersion of the original signal and the noise dispersion. The filter outputs an average value of pixels in a support region when the magnitude of a difference signal of the input pixel and the pixels in the support region is smaller than the threshold but outputs the input pixel without any change when the magnitude of a difference signal of the input pixel and the pixels in the support region is larger than the threshold.
KR1020000041114A 2000-07-18 2000-07-18 Two-dimensional noise filter KR100327386B1 (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
KR1020000041114A KR100327386B1 (en) 2000-07-18 2000-07-18 Two-dimensional noise filter

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
KR1020000041114A KR100327386B1 (en) 2000-07-18 2000-07-18 Two-dimensional noise filter

Publications (1)

Publication Number Publication Date
KR100327386B1 true KR100327386B1 (en) 2002-03-13

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ID=37478400

Family Applications (1)

Application Number Title Priority Date Filing Date
KR1020000041114A KR100327386B1 (en) 2000-07-18 2000-07-18 Two-dimensional noise filter

Country Status (1)

Country Link
KR (1) KR100327386B1 (en)

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR100734373B1 (en) 2006-03-07 2007-07-03 엘지전자 주식회사 Apparatus and method for reducing noise of image, based on contents of the image
KR100780948B1 (en) * 2006-02-28 2007-12-03 삼성전자주식회사 Apparatus for removing noise of color signal
KR100839922B1 (en) 2006-12-14 2008-06-20 연세대학교 산학협력단 Color artifact reduction Apparatus and Method using adaptive-mean filter
US7548278B2 (en) 2005-06-15 2009-06-16 Samsung Electronics Co., Ltd. Spatio-temporal noise removal method using block classification and display device using the same
US9497468B2 (en) 2009-03-13 2016-11-15 Thomson Licensing Blur measurement in a block-based compressed image

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7548278B2 (en) 2005-06-15 2009-06-16 Samsung Electronics Co., Ltd. Spatio-temporal noise removal method using block classification and display device using the same
KR100780948B1 (en) * 2006-02-28 2007-12-03 삼성전자주식회사 Apparatus for removing noise of color signal
KR100734373B1 (en) 2006-03-07 2007-07-03 엘지전자 주식회사 Apparatus and method for reducing noise of image, based on contents of the image
KR100839922B1 (en) 2006-12-14 2008-06-20 연세대학교 산학협력단 Color artifact reduction Apparatus and Method using adaptive-mean filter
US9497468B2 (en) 2009-03-13 2016-11-15 Thomson Licensing Blur measurement in a block-based compressed image
KR101761928B1 (en) * 2009-03-13 2017-07-26 톰슨 라이센싱 Blur measurement in a block-based compressed image

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