Browse > Article
http://dx.doi.org/10.9708/jksci.2014.19.8.045

An effective quality improvement scheme of magnified image using the surface characteristics in image  

Jung, Soo-Mok (Division of Computer, Sahmuook University)
On, Byung-Won (Dept. of Statistics & Computer Science, Kunsan National University)
Publication Information
Journal of the Korea Society of Computer and Information / v.19, no.8, 2014 , pp. 45-54 More about this Journal
Abstract
In this paper, we proposed an effective quality improvement scheme of magnified image using the surface characteristics in image. If the surface in image is estimated as simple convex surface or simple concave surface, the interpolated value can be calculated to have the surface characteristics by using the other method in the proposed scheme. The calculated value becomes the interpolated pixel value inmagnified image. So, themagnified image reflects the surface characteristics of the real image. If the surface is not estimated as simple convex surface or simple concave surface, the interpolated value is calculated more accurately than bilinear interpolation by using the method of the proposed scheme. The PSNR values of the magnified images using the proposed schemes are greater than those of the magnified images using the previous interpolation schemes.
Keywords
image; image magnification; interpolation; interpolated pixel; image quality;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
연도 인용수 순위
1 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, pp. 109-110, 2005.
2 Y. Bai, and H. Zhuang, "On the Comparison of Bilinear, Cubic Spline, and Fuzzy Interpolation Techniques for Robotic Position Measurements," IEEE Transactions on Instrumentation and Measurement, Vol. 54, Issue 6, pp. 2281-2288, Dec., 2005.   DOI   ScienceOn
3 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, pp. 1988-1995, Nov., 2000.   DOI   ScienceOn
4 X. Li, M. Orchard, "New edge-directed interpolation," IEEE Trans. Image Process, Vol. 10, No. 10, pp. 1521-1527, Oct., 2001.   DOI   ScienceOn
5 J. W. Hwang, and H. S. Lee, "Adaptive image interpolation based on local gradient features," IEEE Signal Processing Letters, Vol. 11, No. 3, pp.359-362, 2004.   DOI   ScienceOn
6 T. Mori, K. Kameyama, Y. Ohmiya, and J. Lee, "Image Resolution Conversion Based on an Edge-Adaptive Interpolation Kernel," IEEE Pacific Rim Conference, pp. 497-500, 2007.
7 S. M. Jung, "An efficient quality improvement scheme for magnified image by using simple convex surface and simple concave surface characteristics in image," Journal of The Korea Society of Computer and Information, Vol. 18, No. 11, pp. 59-68, 2013.
8 K. B. Kim, "Panoramic Image Improvement using Forward Warping and Bilinear Interpolation Method," Journal of the Korea Institute of Information and Communication Engineering," Vol. 16. No. 10, pp. 2108-2112, Oct., 2012.   과학기술학회마을   DOI   ScienceOn
9 J. Shi, and S. E. Reichenbach, "Image Interpolation by Two-Dimensional Parametric Cubic Convolution," IEEE Trans. on Image Processing, Vol. 15, No. 7, pp. 1857-1870, July 2006.   DOI   ScienceOn
10 S. M. Guo, C. Y. Hsu, G. C. Shin, and C. W. Chen, " Fast Pixel-size-based Large-scale Enlargement and Reduction of Image: Adaptive Combination of Bilinear Interpolation and Discrete Cosine Ttransform," Journal of Electronic Imaging, Vol. 20, No. 3, 2011.
11 Y. C. Hu, W. L. Chen, and J. R. Zeng, "Adaptive Image Zooming based on Bilinear Interpolation and VQ Approximation," Communications in Computer and Information Science, Vol. 260, pp. 310-319, 2011.   DOI
12 H. M. Moon, and S. B. Pan, "The LDA-based Long Distance Face Recognition using Multiple Distance Face Image and Bilinear Interpolation," Journal of Korean Institute of Information Technology," Vol. 11, No. 3, pp. 95-101, Mar., 2013.
13 A. K. Jain, "Fundamentals of Digital Image Processing," Prentice Hall, 2005.