An adaptive image interpolation using the quadratic spline interpolator

Hyo Ju Kim, Chang-Sung Jeong

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

1 Citation (Scopus)

Abstract

In this paper we propose a novel image interpolation algorithm based on the quadratic B-spline basis function. Our interpolation algorithm preserves the original edges while not destroying the smoothness in flat area using the adaptive interpolation method according to the directional edge pattern of input image, significantly improving the overall performance of the interpolation. Our experimental result shows that it can produce higher quality and resolution than the currently existing image interpolation methods.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer Verlag
Pages205-215
Number of pages11
Volume2059
ISBN (Print)3540421203, 9783540421207
Publication statusPublished - 2001
Event4th International Workshop on Visual Form, IWVF4 2001 - Capri, Italy
Duration: 2001 May 282001 May 30

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2059
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other4th International Workshop on Visual Form, IWVF4 2001
CountryItaly
CityCapri
Period01/5/2801/5/30

Fingerprint

Image Interpolation
Quadratic Spline
Interpolation Method
Splines
Interpolation
Interpolate
B-spline Function
Adaptive Method
Basis Functions
Smoothness
Experimental Results

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Kim, H. J., & Jeong, C-S. (2001). An adaptive image interpolation using the quadratic spline interpolator. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2059, pp. 205-215). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2059). Springer Verlag.

An adaptive image interpolation using the quadratic spline interpolator. / Kim, Hyo Ju; Jeong, Chang-Sung.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 2059 Springer Verlag, 2001. p. 205-215 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2059).

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

Kim, HJ & Jeong, C-S 2001, An adaptive image interpolation using the quadratic spline interpolator. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 2059, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 2059, Springer Verlag, pp. 205-215, 4th International Workshop on Visual Form, IWVF4 2001, Capri, Italy, 01/5/28.
Kim HJ, Jeong C-S. An adaptive image interpolation using the quadratic spline interpolator. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 2059. Springer Verlag. 2001. p. 205-215. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
Kim, Hyo Ju ; Jeong, Chang-Sung. / An adaptive image interpolation using the quadratic spline interpolator. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 2059 Springer Verlag, 2001. pp. 205-215 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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