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Digital Image Magnification Using Gaussian-Edge Directed Interpolation

  • Muhammad Sajjad
  • Ran Baik
  • Sung Wook Baik
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 215)

Abstract

This paper presents a simple and cost effective approach for digital image magnification (DIM). DIM is used in various applications and is an enthusiastic area of research at present. The proposed technique uses Gaussian edge directed interpolation to determine the precise weights of the neighboring pixels. The standard deviation of the interpolation window determines the value of ‘σ’ for generating Gaussian kernels. Gaussian kernels preserve the original detail of the low-resolution image to produce high-resolution image of high visual quality. The experimental results show that the proposed technique is superior to other techniques qualitatively as well as quantitatively.

Keywords

Digital image magnification Gaussian kernel Gaussian sigma Weighted interpolation 

Notes

Acknowledgments

This research is supported by, (1) The Industrial Strategic technology development program, 10041772, (The Development of an Adaptive Mixed-Reality Space based on Interactive Architecture) funded by the Ministry of Knowledge Economy (MKE, Korea), and (2) The MKE (The Ministry of Knowledge Economy), Korea, under IT/SW Creative research program supervised by the NIPA (National IT Industry Promotion Agency)” (NIPA-2012- H0502-12-1013).

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Copyright information

© Springer Science+Business Media Dordrecht 2013

Authors and Affiliations

  1. 1.College of Electronics and Information EngineeringSejong UniversitySeoulRepublic of Korea
  2. 2.College of BusinessHonam UniversityGwangjuRepublic of Korea

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