Browse > Article
http://dx.doi.org/10.9708/jksci.2013.18.11.059

An efficient quality improvement scheme for magnified image by using simple convex surface and simple concave surface characteristics in image  

Jung, Soo-Mok (Division of Computer Science and Engineering, Sahmyook University)
Publication Information
Journal of the Korea Society of Computer and Information / v.18, no.11, 2013 , pp. 59-68 More about this Journal
Abstract
In this paper, an effective scheme was proposed to estimate simple convex surface and simple concave surface which exist in image. This scheme is applied to input image to estimate simple convex surface or simple concave surface. When simple convex surface or simple concave surface exists, another proposed efficient interpolation scheme is used for the interpolated pixel to have the characteristics of simple convex surface or simple concave surface. The magnified image using the proposed schemes is more similar to the real image than the magnified image using the previous schemes. 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 magnification; Interpolation; Bilinear interpolation; PSNR;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
연도 인용수 순위
1 W. K. Pratt, "Digital Image Processing," Wiley, 1991.
2 I. N. Bankman, "Handbook of Medical Imaging, Processing and Analysis," Academic Press, pp. 393-420, 2000.
3 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.
4 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, 2012.   과학기술학회마을   DOI   ScienceOn
5 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, 2013.
6 A. K. Jain, "Fundamentals of Digital Image Processing," Prentice Hall, 2005.
7 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, 2005.   DOI   ScienceOn
8 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, 2000.   DOI   ScienceOn
9 X. Li, M. Orchard, "New edge-directed interpolation," IEEE Trans. Image Process, Vol. 10, No. 10, pp. 1521-1527, 2001.   DOI   ScienceOn
10 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
11 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.
12 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.
13 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.-, No. 260, pp. 310-319, 2011.
14 S.M. Jung, B.W. On, "An efficient quality improvement scheme of magnified image by using the information of adjacent pixel values," Journal of The Korea Society of Computer and Information, Vol. 18, No. 2, pp. 49-58, 2013.   과학기술학회마을   DOI   ScienceOn