Closed-form least-squares technique for adaptive linear image interpolation

An adaptive linear image interpolation method based on the least-squares technique is proposed. A generic adaptive interpolation framework is introduced to provide a simple closed-form formula for adaptive image interpolation. Experimental results indicate that the proposed interpolation method outp...

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Veröffentlicht in:Electronics letters Jg. 43; H. 4; S. 210 - 212
1. Verfasser: Yoo, H.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: London Institution of Electrical Engineers 15.02.2007
Schlagworte:
Applied sciences
Detection, estimation, filtering, equalization, prediction
Exact sciences and technology
Image processing
Information, signal and communications theory
Signal and communications theory
Signal processing
Signal, noise
Telecommunications and information theory
Performance evaluation
Image quality
Linear interpolation
Image processing
Least squares method
Adaptive method
Subjective evaluation
Image method
ISSN:0013-5194, 1350-911X
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Abstract An adaptive linear image interpolation method based on the least-squares technique is proposed. A generic adaptive interpolation framework is introduced to provide a simple closed-form formula for adaptive image interpolation. Experimental results indicate that the proposed interpolation method outperforms existing methods in terms of objective and subjective image quality.
AbstractList An adaptive linear image interpolation method based on the least-squares technique is proposed. A generic adaptive interpolation framework is introduced to provide a simple closed-form formula for adaptive image interpolation. Experimental results indicate that the proposed interpolation method outperforms existing methods in terms of objective and subjective image quality.
Author Yoo, H.
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  givenname: H.
  surname: Yoo
  fullname: Yoo, H.
  organization: Division of Computer and Information, Dongseo University, 69-1 Jurye-dong, Sasang-gu, Busan 617-716, Korea
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CitedBy_id crossref_primary_10_1016_j_ijleo_2018_03_139
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Cites_doi 10.1109/79.799930
10.1109/83.951537
10.1109/TIP.2004.826093
10.1109/83.760311
10.1109/LSP.2003.821718
10.1109/TASSP.1981.1163711
10.1109/83.931101
10.1109/30.846654
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Issue 4
Keywords Performance evaluation
Image quality
Linear interpolation
Image processing
Least squares method
Adaptive method
Subjective evaluation
Image method
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References El-Khamy (10.1049/el:20073606_r9) 2004
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SubjectTerms Applied sciences
Detection, estimation, filtering, equalization, prediction
Exact sciences and technology
Image processing
Information, signal and communications theory
Signal and communications theory
Signal processing
Signal, noise
Telecommunications and information theory
Title Closed-form least-squares technique for adaptive linear image interpolation
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