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.
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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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Sajjad, M., Baik, R., Baik, S.W. (2013). Digital Image Magnification Using Gaussian-Edge Directed Interpolation. In: Kim, K., Chung, KY. (eds) IT Convergence and Security 2012. Lecture Notes in Electrical Engineering, vol 215. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-5860-5_65
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DOI: https://doi.org/10.1007/978-94-007-5860-5_65
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