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Optimal Image Upscaling Using Pixel Classification

G.Banupriya, C.R.Jerinsajeev
Department of ECE, Einstein college of Engineering, Tirunelveli, India
International Journal of Soft Computing and Engineering (IJSCE), Volume 2, Issue 6, 2013
@article{banupriya2013optimal,

   title={Optimal Image Upscaling Using Pixel Classification},

   author={Banupriya, G. and Jerinsajeev, CR},

   year={2013}

}

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Image magnification generally results in loss of image quality. Therefore image magnification requires interpolation to read between the pixels. Generally the enlarged images suffer from imperfect reconstructions, pixelization and jagged contours. The proposed system provides error-free high resolution for real images. The basic idea behind the system comprises two basic steps: Fast Curvature Based Interpolation (FCBI) which involves the filling of missing values after zooming and Iterative Curvature Based Interpolation (ICBI) which involves the modification of the filled values. The results obtained from the simulation shows that the proposed interpolation algorithm improves the quality of the image both subjectively and objectively compared to the previous conventional techniques.
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