AU7346700A - Fast and efficient computation of cubic-spline interpolation for data compression - Google Patents

Fast and efficient computation of cubic-spline interpolation for data compression

Info

Publication number
AU7346700A
AU7346700A AU73467/00A AU7346700A AU7346700A AU 7346700 A AU7346700 A AU 7346700A AU 73467/00 A AU73467/00 A AU 73467/00A AU 7346700 A AU7346700 A AU 7346700A AU 7346700 A AU7346700 A AU 7346700A
Authority
AU
Australia
Prior art keywords
cubic
fast
data compression
spline interpolation
efficient computation
Prior art date
Legal status (The legal status 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 status listed.)
Abandoned
Application number
AU73467/00A
Inventor
T. C. Cheng
W. S. Hsieh
I. S. Reed
T. K Truong
L. J. Wang
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Individual
Original Assignee
Individual
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 Individual filed Critical Individual
Publication of AU7346700A publication Critical patent/AU7346700A/en
Abandoned legal-status Critical Current

Links

Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
    • H04N19/50—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using predictive coding
    • H04N19/59—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using predictive coding involving spatial sub-sampling or interpolation, e.g. alteration of picture size or resolution
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10—Complex mathematical operations
    • G06F17/17—Function evaluation by approximation methods, e.g. inter- or extrapolation, smoothing, least mean square method
    • G06F17/175—Function evaluation by approximation methods, e.g. inter- or extrapolation, smoothing, least mean square method of multidimensional data
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T3/00—Geometric image transformations in the plane of the image
    • G06T3/40—Scaling of whole images or parts thereof, e.g. expanding or contracting
    • G06T3/4007—Scaling of whole images or parts thereof, e.g. expanding or contracting based on interpolation, e.g. bilinear interpolation
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
    • H04N19/80—Details of filtering operations specially adapted for video compression, e.g. for pixel interpolation

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Pure & Applied Mathematics (AREA)
  • Mathematical Physics (AREA)
  • Mathematical Analysis (AREA)
  • Mathematical Optimization (AREA)
  • Signal Processing (AREA)
  • Multimedia (AREA)
  • Data Mining & Analysis (AREA)
  • Computational Mathematics (AREA)
  • Databases & Information Systems (AREA)
  • Software Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Algebra (AREA)
  • Compression Or Coding Systems Of Tv Signals (AREA)
  • Compression, Expansion, Code Conversion, And Decoders (AREA)
  • Complex Calculations (AREA)
AU73467/00A 1999-09-03 2000-09-01 Fast and efficient computation of cubic-spline interpolation for data compression Abandoned AU7346700A (en)

Applications Claiming Priority (5)

Application Number Priority Date Filing Date Title
US15277299P 1999-09-03 1999-09-03
US60152772 1999-09-03
US18001200P 2000-02-03 2000-02-03
US60180012 2000-02-03
PCT/US2000/024265 WO2001018743A1 (en) 1999-09-03 2000-09-01 Fast and efficient computation of cubic-spline interpolation for data compression

Publications (1)

Publication Number Publication Date
AU7346700A true AU7346700A (en) 2001-04-10

Family

ID=26849860

Family Applications (1)

Application Number Title Priority Date Filing Date
AU73467/00A Abandoned AU7346700A (en) 1999-09-03 2000-09-01 Fast and efficient computation of cubic-spline interpolation for data compression

Country Status (4)

Country Link
JP (1) JP2003509748A (en)
CN (1) CN1399766A (en)
AU (1) AU7346700A (en)
WO (1) WO2001018743A1 (en)

Families Citing this family (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE10248543A1 (en) * 2002-10-14 2004-04-22 Deutsche Telekom Ag Two-dimensional display, interpolation and compression of data that can be automatically propagated involves using Cauchy integral theorem and if appropriate residue theorem for interpolation formula
JP4669993B2 (en) * 2005-11-02 2011-04-13 学校法人東京電機大学 Extreme value detection method and extreme value detection program using optimal smoothing spline
US8098247B2 (en) 2009-09-24 2012-01-17 Crucs Holdings, Llc Systems and methods for geometric data compression and encryption
BR122020014075B1 (en) 2010-09-30 2023-11-28 Samsung Electronics Co., Ltd MOTION COMPENSATION METHOD
US9275013B2 (en) * 2012-03-16 2016-03-01 Qualcomm Incorporated System and method for analysis and reconstruction of variable pulse-width signals having low sampling rates
EP3557484B1 (en) * 2016-12-14 2021-11-17 Shanghai Cambricon Information Technology Co., Ltd Neural network convolution operation device and method
JP2019200675A (en) 2018-05-17 2019-11-21 東芝メモリ株式会社 Processing device and data processing method
KR102103727B1 (en) * 2018-09-03 2020-04-24 네이버 주식회사 Apparatus and method for generating image using skim-pixel convolution neural network
KR102142534B1 (en) * 2018-10-02 2020-08-07 주식회사 크레아큐브 Arithmetic learning apparatus
CN111260020B (en) * 2018-11-30 2024-04-16 深圳市海思半导体有限公司 Convolutional neural network calculation method and device
CN110097172B (en) * 2019-03-18 2021-10-29 中国科学院计算技术研究所 Convolutional neural network data processing method and device based on Winograd convolutional operation

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5822456A (en) * 1994-07-14 1998-10-13 Johnson-Grace Optimal spline interpolation for image compression
MX9700385A (en) * 1994-07-14 1998-05-31 Johnson Grace Company Method and apparatus for compressing images.

Also Published As

Publication number Publication date
CN1399766A (en) 2003-02-26
WO2001018743A9 (en) 2002-09-26
JP2003509748A (en) 2003-03-11
WO2001018743A1 (en) 2001-03-15

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Legal Events

Date Code Title Description
MK6 Application lapsed section 142(2)(f)/reg. 8.3(3) - pct applic. not entering national phase