High accuracy WADI image interpolation with local gradient features

Shuai Yuan; Masahide Abe; Akira Taguchi; Masayuki Kawamata

High accuracy WADI image interpolation with local gradient features

Shuai Yuan, Masahide Abe, Akira Taguchi, Masayuki Kawamata

ENG - Electronic Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

8 Citations (Scopus)

Abstract

In this paper, we propose a new computational method of the warped distance (WaDi) for digital image interpolation. The conventional WaDi algorithm only uses the local asymmetry features of image edges to compute the WaDi and then uses the computed WaDi in place of the interpolation operator in the linear interpolations. The local gradient features are one kind of the important features of image edges as well as the local asymmetry features. In this paper, we adopt both the local asymmetry features and the local gradient features in the WaDi computation. Experimental results show that the proposed method can obtain high accuracy interpolated images.

Original language	English
Title of host publication	Proceedings of 2005 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2005
Pages	85-88
Number of pages	4
Volume	2005
Publication status	Published - 2005 Dec 1
Event	2005 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2005 - Hong Kong, China Duration: 2005 Dec 13 → 2005 Dec 16

Other

Other	2005 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2005
Country/Territory	China
City	Hong Kong
Period	05/12/13 → 05/12/16

ASJC Scopus subject areas

Engineering(all)

Cite this

Yuan, S, Abe, M, Taguchi, A & Kawamata, M 2005, High accuracy WADI image interpolation with local gradient features. in Proceedings of 2005 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2005. vol. 2005, 1595352, pp. 85-88, 2005 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2005, Hong Kong, China, 05/12/13.

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abstract = "In this paper, we propose a new computational method of the warped distance (WaDi) for digital image interpolation. The conventional WaDi algorithm only uses the local asymmetry features of image edges to compute the WaDi and then uses the computed WaDi in place of the interpolation operator in the linear interpolations. The local gradient features are one kind of the important features of image edges as well as the local asymmetry features. In this paper, we adopt both the local asymmetry features and the local gradient features in the WaDi computation. Experimental results show that the proposed method can obtain high accuracy interpolated images.",

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volume = "2005",

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TY - GEN

T1 - High accuracy WADI image interpolation with local gradient features

AU - Yuan, Shuai

AU - Abe, Masahide

AU - Taguchi, Akira

AU - Kawamata, Masayuki

PY - 2005/12/1

Y1 - 2005/12/1

N2 - In this paper, we propose a new computational method of the warped distance (WaDi) for digital image interpolation. The conventional WaDi algorithm only uses the local asymmetry features of image edges to compute the WaDi and then uses the computed WaDi in place of the interpolation operator in the linear interpolations. The local gradient features are one kind of the important features of image edges as well as the local asymmetry features. In this paper, we adopt both the local asymmetry features and the local gradient features in the WaDi computation. Experimental results show that the proposed method can obtain high accuracy interpolated images.

AB - In this paper, we propose a new computational method of the warped distance (WaDi) for digital image interpolation. The conventional WaDi algorithm only uses the local asymmetry features of image edges to compute the WaDi and then uses the computed WaDi in place of the interpolation operator in the linear interpolations. The local gradient features are one kind of the important features of image edges as well as the local asymmetry features. In this paper, we adopt both the local asymmetry features and the local gradient features in the WaDi computation. Experimental results show that the proposed method can obtain high accuracy interpolated images.

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M3 - Conference contribution

AN - SCOPUS:33847228416

SN - 0780392663

SN - 9780780392663

VL - 2005

SP - 85

EP - 88

BT - Proceedings of 2005 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2005

T2 - 2005 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2005

Y2 - 13 December 2005 through 16 December 2005

ER -

High accuracy WADI image interpolation with local gradient features

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