Call for Paper - July 2020 Edition
IJCA solicits original research papers for the July 2020 Edition. Last date of manuscript submission is June 22, 2020. Read More

Analysis of Interpolation Techniques for Image Scaling based on IET and its Variants

Print
PDF
IJCA Proceedings on International Conference on Emerging Trends in Technology and Applied Sciences
© 2015 by IJCA Journal
ICETTAS 2015 - Number 2
Year of Publication: 2015
Authors:
Nakul E
Merlin Thomas

Nakul E and Merlin Thomas. Article: Analysis of Interpolation Techniques for Image Scaling based on IET and its Variants. IJCA Proceedings on International Conference on Emerging Trends in Technology and Applied Sciences ICETTAS 2015(2):27-31, September 2015. Full text available. BibTeX

@article{key:article,
	author = {Nakul E and Merlin Thomas},
	title = {Article: Analysis of Interpolation Techniques for Image Scaling based on IET and its Variants},
	journal = {IJCA Proceedings on International Conference on Emerging Trends in Technology and Applied Sciences},
	year = {2015},
	volume = {ICETTAS 2015},
	number = {2},
	pages = {27-31},
	month = {September},
	note = {Full text available}
}

Abstract

Image scaling is an important technique that is widely used in many image processing applications. Here the interpolation technique is based on the interpolation error theorem and a bilateral error-amender is used to interpolate the resampled pixels. Interpolation technique based on IET is compared with conventional interpolation techniques such as Bilinear and Nearest Neighbour interpolation. The 3 methods are compared for visual quality and hardware utilization. Interpolation technique based on IET shows better performance than the existing methods. It solved the blurring and checkerboard effects to an extent. The visual quality is observed using MATLAB. The design is synthesized using Xilinx ISE software. Simulation result is found using Modelsim software. The hardware implementation is done in Spartan 3E FPGA kit.

References

  • Chien-Chuan Huang and Pei-Yin Chen," A Novel Interpolation Chip for Real-Time Multimedia Applications", IEEE trans on circuits and systems for video technology, VOL. 22, no. 10, Oct 2012
  • R. C. Gonzalez and R. E. Woods,1992, Digital Image Processing. Reading,MA: Addison-Wesley.
  • T. M. Lehmann, C. Gonner, and K. Spitzer, "Survey: Interpolation methods in medical image processing," IEEE Trans. Med. Imag. , vol. 18, no. 11, 1049–1075, Nov. 1999.
  • J. A. Parker, R. V. Kenyon, and D. E. Troxel, "Comparison of interpolation methods for image resampling," IEEE Trans. Med. Imag. , vol. MI-2, no. 3, 31–39, Sep. 1983.
  • H. Hou and H. C. Andrews, "Cubic splines for image interpolation and digital filtering," IEEE Trans. Acoust. , Speech Signal Proc. , vol. ASSP-26, no. 6, 508–517, Dec. 1978.
  • R. G. Keys, "Cubic convolution interpolation for digital image processing," IEEE Trans. Acou. , Speech, Signal Process. , vol. ASSP-29, no. 6, 1153–1160, Dec. 1981.
  • C. C. Lin, M. H. Sheu, H. K. Chiang, W. K. Tsai, and Z. C. Wu, "Realtime FPGA architecture of extended linear convolution for digital image scaling," in Proc. IEEE Int. Conf. Field-Programmable Technol. , Dec. 2008, 381–384.
  • C. C. Lin, M. H. Sheu, H. K. Chiang, C. L. Liaw, and Z. C. Wu, "The efficient VLSI design of BI-CUBIC convolution interpolation for digital image processing," in Proc. IEEE Int. Conf. Circuits Syst. , May 2008, 480–483.
  • L. J. Wang, W. S. Hsieh, and T. K. Truong, "A fast computation of 2-D cubic-spline interpolation," IEEE Signal Process. Lett. , vol. 11, no. 9, . 768–771, Sep. 2004.
  • C. Kim, S. M. Seong, J. A. Lee, and L. S. Kim, "Winscale: An image-scaling algorithm using an area pixel model," IEEE Trans. Circuits Syst. Video Technol. , vol. 13, no. 6, 549–553, Jun. 2003.
  • C. C. Lin, Z. C. Wu, W. K. Tsai, M. H. Sheu, and H. K. Chiang, The VLSI design of winscale for digital image scaling, in Proc. IEEE Int. Conf Intell. Inform. Hiding Multimedia Signal Process. , Nov. 2007, 511–514.
  • P. -Y. Chen, C. -Y. Lien, and C. -P. Lu, "VLSI implementation of an edge oriented image scaling processor," IEEE Trans. Very Large Scale Integr. Syst. , vol. 17, no. 9, 1275–1284, Sep. 2009.
  • Y. Cha and S. Kim, "The error-amended sharp edge (EASE) scheme for image zooming," IEEE Trans. Image Process. , vol. 16, no. 6, 1496–1505, Jun. 2007.
  • Q. Wang and R. K. Ward, "A new orientation-adaptive interpolation method," IEEE Trans. Image Process. , vol. 16, no. 4, 889–900, Apr. 2007.
  • J. F. Epperson,2007, An Introduction to Numerical Methods and Analysis. New York: Wiley.