Low Complexity Hybrid Interpolation Algorithm using Weighted Edge Detector 


Vol. 32,  No. 3, pp. 241-248, Mar.  2007


PDF Full-Text
  Abstract

In predictive image coding, a LS (Least Squares)-based adaptive predictor is an efficient method to improve image edge predictions. This paper proposes a hybrid interpolation with weighted edge detector. A hybrid approach of switching between bilinear interpolation and EDI (Edge-Directed Interpolation) is proposed in order to reduce the overall computational complexity. The objective and subjective quality is also similar to the bilinear interpolation and EDI. Experimental results demonstrate that this hybrid interpolation method that utilizes a weighted edge detector can achieve reduction in complexity with minimal degradation in the interpolation results.

  Statistics
Cumulative Counts from November, 2022
Multiple requests among the same browser session are counted as one view. If you mouse over a chart, the values of data points will be shown.


  Cite this article

[IEEE Style]

H. Kwon, G. Jeon, J. Jeong, "Low Complexity Hybrid Interpolation Algorithm using Weighted Edge Detector," The Journal of Korean Institute of Communications and Information Sciences, vol. 32, no. 3, pp. 241-248, 2007. DOI: .

[ACM Style]

Hyeokjin Kwon, Gwanggil Jeon, and Jechang Jeong. 2007. Low Complexity Hybrid Interpolation Algorithm using Weighted Edge Detector. The Journal of Korean Institute of Communications and Information Sciences, 32, 3, (2007), 241-248. DOI: .

[KICS Style]

Hyeokjin Kwon, Gwanggil Jeon, Jechang Jeong, "Low Complexity Hybrid Interpolation Algorithm using Weighted Edge Detector," The Journal of Korean Institute of Communications and Information Sciences, vol. 32, no. 3, pp. 241-248, 3. 2007.

Search
(IN TITLE, AUTHOR, ABSTRACT,KEYWORDS)

Advanced Search ▼

POPULAR KEYWORDS
(TOP 10 KEYWORDS)

Recent Publications
(LAST 3 YEARS)






pISSN : 1226 - 4717
eISSN : 2287 - 3880