High accuracy WADI image interpolation with local gradient features

Shuai Yuan, Masahide Abe, Akira Taguchi, Masayuki Kawamata

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 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 languageEnglish
Title of host publicationProceedings of 2005 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2005
Pages85-88
Number of pages4
Volume2005
Publication statusPublished - 2005 Dec 1
Event2005 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2005 - Hong Kong, China
Duration: 2005 Dec 132005 Dec 16

Other

Other2005 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2005
CountryChina
CityHong Kong
Period05/12/1305/12/16

ASJC Scopus subject areas

  • Engineering(all)

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