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http://dx.doi.org/10.17662/ksdim.2010.6.4.217

Quality Improvement Scheme of Interpolated Image using the Locality  

Jung, Soo Mok (삼육대학교 컴퓨터학부)
Publication Information
Journal of Korea Society of Digital Industry and Information Management / v.6, no.4, 2010 , pp. 217-223 More about this Journal
Abstract
In the case of image magnification by using interpolation methods, interpolated pixels are estimated from the known pixels in source image. The magnified image is composed of the known pixels in source image and the interpolated pixels which is estimated. If the interpolated pixels are estimated to have the locality which is exists in real images, the magnified image is much closer to the real image. In this paper, an improved interpolation scheme is proposed to estimate pixels from the known pixels in source image using the locality which is exists in real images. The magnified image by using the proposed interpolation scheme is much closer to the real image. The performance of the proposed interpolation scheme is evaluated by using PSNR(Peak Signal to Noise Ratio) in experiment. The PSNR of the magnified image by using the proposed scheme is improved than that of the magnified images by using existing interpolation methods. So, the proposed interpolation scheme is an efficient interpolation method for the quality improvement of magnified image.
Keywords
Image Magnification; Interpolation; Bilinear Interpolation; Locality;
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  • Reference
1 W. K. Pratt, Digital Image Processing, New York: Wiley, 1991.
2 M. Petrou, P. Bosdogianni, Image Processing : The Fundamentals, John Wiley & Sons Inc. Jan. 2002.
3 T. Acharya, A. K. Ray, "Image Processing : Principles and Applications," Wiley-Interscience, Sep. 2005.
4 R. Crane, Simplified Approach to Image Processing, Prentice Hall, 1997.
5 K. P. Hong, J. K. Wang, I. S. Reed, and W. S. Hsieh, "Image data compression using cubic convolution spline interpolation," IEEE Tran. Image Processing, Vol. 9, No. 11, Nov. 2000, pp. 1988-1995.   DOI   ScienceOn
6 R. G. Keys, "Cubic convolution interpolation for digital image processing," IEEE Trans. Acoust., Speech, Signal Process, Vol. 29, Dec. 1981, pp. 1153-1160.   DOI
7 X. Li, M. Orchard, "New edge-directed interpolation," IEEE Trans. Image Process., Vol. 10, No. 10, Oct. 2001, pp. 1521-1527.   DOI   ScienceOn
8 J. W. Hwang, H. S. Lee, "Adaptive image interpolation based on local gradient features," IEEE Signal Processing Letters, Vol. 11, No. 3, Mar. 2004, pp. 359-362.   DOI   ScienceOn
9 T. Mori, K. Kameyama, Y. Ohmiya, J. Lee, "Image resolution conversion based on and edge-adaptive interpolation kernel," IEEE Pacific Rim Conference, Aug. 2007, pp. 497-500.
10 T. W. Chan, O. C. Au, T. S. Chong, and W. S. Chau, "An Adaptive interpolation using spatial varing filter," IEEE Int. Conf. Consumer Electron. Jan. 2005, pp. 109-110.