An Efficient Image Interpolation Algorithm using Edges Extracted Edges From Binary Image 


Vol. 34,  No. 4, pp. 363-370, Apr.  2009


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  Abstract

Image interpolation addresses the problem of generating a high-resolution image from its low-resolution version. Classical linear interpolation algorithms are simple and popular, but they produce interpolated image with blurred edges and annoying artifacts, Thus, many edge-based interpolation algorithms have been proposed to improve the subjective quality of the interpolated image, especially around edges on the image. In this paper, we propose a new interpolation algorithm which uses edges extracted from binary image. The proposed algorithm is applied to the image after interpolating using 6-Tap FIR filter. The values of interpolation pixels on edges extracted from binary image are modified using neighborhood pixels on the same edge. Experimental results for various images show that the proposed method provides better performance than existing methods.

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  Cite this article

[IEEE Style]

S. Lee, S. Kim, D. Lee, "An Efficient Image Interpolation Algorithm using Edges Extracted Edges From Binary Image," The Journal of Korean Institute of Communications and Information Sciences, vol. 34, no. 4, pp. 363-370, 2009. DOI: .

[ACM Style]

Sang-Hoon Lee, Sung-Geun Kim, and Dong-Ho Lee. 2009. An Efficient Image Interpolation Algorithm using Edges Extracted Edges From Binary Image. The Journal of Korean Institute of Communications and Information Sciences, 34, 4, (2009), 363-370. DOI: .

[KICS Style]

Sang-Hoon Lee, Sung-Geun Kim, Dong-Ho Lee, "An Efficient Image Interpolation Algorithm using Edges Extracted Edges From Binary Image," The Journal of Korean Institute of Communications and Information Sciences, vol. 34, no. 4, pp. 363-370, 4. 2009.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880