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http://dx.doi.org/10.6109/jkiice.2013.17.10.2425

Shifted Linear Interpolation with an Image-Dependent Parameter  

Park, Do-Young (Department of Computer Engineering, Sangmyung University)
Yoo, Hoon (Department of Digital Media, Sangmyung University)
Abstract
This paper presents an shifted linear interpolation method with an image-dependent parameter. The previous shifted linear interpolation proposed the optimal shift parameter of 0.21, which is calculated by spectrum analysis of the shifted linear interpolation kernel. However, the parameter can be different if we takes an input image spectrum into account. Thus, we introduce an image-dependent parameter. An experiment shows the best shift parameter is 0.19 in average for real images. Also, simulation results indicate the proposed method is superior to the existing shifted linear interpolation as well as conventional methods such as linear interpolation and cubic convolution interpolation in terms of the subjective and objective image quality.
Keywords
Linear interpolation; Shifted linear interpolation; Image-dependent parameters;
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1 Byong-Deok Choi and Hoon Yoo, "Design of piecewise weighted linear interpolation based on even-odd decomposition and its application to image resizing," IEEE Trans. Consumer Electronics, Vol. 55, No. 4, pp. 2280- 2286, Nov. 2009.   DOI   ScienceOn
2 M. Unser, "Anisotropic interpolation of sparse generalized image samples," IEEE Trans. Image Processing. Vol. 22, No. 2, pp. 459-472, Feb. 2013.   DOI   ScienceOn
3 Y. Zhang, D. Zhao, J. Zhang, R. Xiong, "Interpolationdependent image downsampling," IEEE Tans. Vol. 20, No. 11, pp. 3291-3296, Nov. 2011.
4 I. N. Bankman, Handbook of medical imaging, processing and analysis, academic new york, pp. 393-420, 2000.
5 E. Meijering, "A chronology of interpolation: from ancient astronomy to modern signal and image processing," IEEE Trans. Image Processing. Vol. 90, No. 3, pp. 319-342, Mar. 2002.
6 L. Chang and Y. P. Tang, "Effective use of spatial and spectral correlations for color filter array demosaicking," IEEE Trans. on Consumer Electronics, Vol. 50, No. 1, pp. 355-365, May. 2004.   DOI   ScienceOn
7 R. G. Keys, "Cubic convolution interpolation for digital image processing," IEEE Trans. Acoust. Speech. Signal Process. Vol. 29, pp. 1153-1160, Dec. 1981.   DOI
8 T. Blu, P. Thevenaz, and M. Unser, "Linear interpolation revitalized," IEEE Trans. Image Processing. Vol. 13, No. 5, pp. 710-719, May. 2004.   DOI   ScienceOn
9 H. C. Chen, W. J. Wang, "Fuzzy-adapted linear interpolation algorithm for image zooming," Signal Processing, Vol. 89, No. 12, pp. 2490-2502, Dec. 2009.   DOI   ScienceOn
10 G. Ramponi, "Warped distance for space- variant linear image interpolation," IEEE Trans. Image Processing. Vol. 8, pp. 629-639, May. 1999.   DOI   ScienceOn
11 X. Li and M. Orchard, "New edge-directed interpolation," IEEE Trans. Image Processing. Vol. 10, No. 10, pp. 1521-1527, Oct. 2001.   DOI   ScienceOn
12 H. Yoo, "Closed-form least-squares technique for adaptive linear image interpolation," Electronics Letters. Vol. 43, pp. 210-212, Feb. 2007.   DOI   ScienceOn