Open Access Research Article

Two-Stage Interpolation Algorithm Based on Fuzzy Logics and Edges Features for Image Zooming

Hsiang-Chieh Chen1 and Wen-June Wang1,2*

Author Affiliations

1 Department of Electrical Engineering, National Central University, Taoyuan 32001, Taiwan

2 Department of Electrical Engineering, National Taipei University of Technology, Taipei 10608, Taiwan

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EURASIP Journal on Advances in Signal Processing 2009, 2009:372180 doi:10.1155/2009/372180


The electronic version of this article is the complete one and can be found online at: http://asp.eurasipjournals.com/content/2009/1/372180


Received:18 February 2009
Revisions received:6 June 2009
Accepted:26 August 2009
Published:15 October 2009

© 2009 The Author(s).

This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

This work presents an innovative two-stage interpolation algorithm for image resolution enhancement and zooming applications. The desired high-resolution images are obtained via two interpolative stages. In the first stage, aligned pixels are first estimated using a fuzzy inference system, whose critical parameters are optimized by particle swarm intelligence. In the second stage, interior pixels are then restored by utilizing the edge properties of nearby pixels. From experimental results, numerical comparison confirms the superiority of the proposed interpolation algorithm over other existing methods. Furthermore, visual illustrations including zoomed parts and error maps demonstrate the significant improvement of the proposed method, particularly in the regions that contain many local edges and sharp details.

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