Journal of the Korean Society of Manufacturing Technology Engineers (한국생산제조학회지)

The Korean Society of Manufacturing Technology Engineers (한국생산제조학회)
권호 표지

A Study on the Interpolation Algorithm to Improve the Blurring of Magnified Image

확대 영상의 몽롱화 현상을 제거하기 위한 보간 알고리즘 연구

  • 이준호 (한국폴리텍I대학 서울정수캠퍼스 LCD반도체시스템과)
  • Received : 2010.01.05
  • Accepted : 2010.06.16
  • Published : 2010.08.15
Download PDF
⟨ Previous Next ⟩

Abstract

This paper analyzes the problems that occurred in the magnification process for a fine input image and investigates a method to improve the blurring of magnified image. This paper applies a curve interpolation algorithm in CAD/CAM for the same test images with the existing image algorithm in order to improve the blurring of magnified image. As a result, the nearest neighbor interpolation, which is the most frequently applied algorithm for the existing image interpolation algorithm, shows that the identification of a magnified image is not possible. Therefore, this study examines an interpolation of gray-level data by applying a low-pass spatial filter and verifies that a bilinear interpolation presents a lack of property that accentuates the boundary of the image where the image is largely changed. The periodic B-spline interpolation algorithm used for curve interpolation in CAD/CAM can remove the blurring but shows a problem of obscuration, and the Ferguson' curve interpolation algorithm shows a more sharpened image than that of the periodic B-spline algorithm. For the future study, hereafter, this study will develop an interpolation algorithm that has an excellent improvement for the boundary of the image and continuous and flexible property by using the NURBS, Ferguson' complex surface, and Bezier surface used in CAD/CAM engineering based on the results of this study.

Keywords

References

  1. Tayor, P. M., Selke, K. W., and Taylor, G. E., 1981, "Closed loop control of an industrial robot using visual feedback from a sensory gripper," 11th ISIR, pp. 79-86.
  2. Lee, Y. J. and Lee, Y. B., 1997, "An implementation of the automation of labeling for rolled coil using robot vision," The Institute of Control, Automation and Systems Engineers, Korea, Vol 3, No 4, pp. 497-502.
  3. Lee, Y. J., 1997, "An algorithm for the inspection of a chassis in the environment of a uneven light," Fall Conference of The Institute of Control, Automation and Systems Engineers, Korea, pp. 1469- 1471.
  4. Lee, Y. J., 1998, "A study on the distance measurement using a stereo camera and laser pointer," Fall Conference of The Institute of Control, Automation and Systems Engineers, Korea, pp. 1469-1471.
  5. Lee, Y. J., 2005, "Application of Curve Interpolation Algorithm in CAD/CAM to Remove the Blurring of Magnified Image," A treatise in the Spring Congress in 2005 by KSMTE; The Korean Society of Machine Tool Engineers. pp. 115-124.
  6. Hou, H. S. and Andrews, H. C., 1978, "Cubic spline for image interpolation and digital filtering," IEEE Trans. Acoust., Speech, and Signal Processing, Vol. 26, pp. 508-517. https://doi.org/10.1109/TASSP.1978.1163154
  7. Keys, R. G., 1981, "Cubic convolution interpolation for digital image processing," IEEE Trans, Acoustic, Speech and Signal Processing, Vol. 29, No. 6, pp. 1153-1160. https://doi.org/10.1109/TASSP.1981.1163711
  8. Parker, J. A., Kenyon, R. V., and Troxel, D. E., 1983, "Comparison of interpolation methods for image re sampling," IEEE trans. Medical Imaging, Vol. 2, No. 1, pp. 53-61.
  9. Mealand, E., 1988, "On the comparison of interpolation methods," IEEE Trans. Medical Imaging, Vol. 7, No. 3, pp. 213-217. https://doi.org/10.1109/42.7784
  10. Lee, B. K. and Ha, Y. H., 1990, "Space variant spline functions for image interpolation," Joint Technical Corference on Circuits/Systems, Computers and Communications (JTC-CSCC 90), Cheju, Korea, pp. 408-413.
  11. Lee, Y. J., 1996, Application of the image processing technology, Daeyoung-Sa Book Publishing, Republic of Korea, pp. 37-108.
  12. Lee, C. S., 1997, From the CAD/CAM shape modeling to the NC processing, Turbo-Tech Book Publishing, Republic of Korea, pp. 80-123.
  13. Lee, Y. J., 2000, "A Study on the Development of Aluminum Table Plane Inspection Algorithm using Computer Vision System," A treatise in the Spring Congress in 2000 by KSMTE; The Korean Society of Machine Tool Engineers, pp. 115-120.
  14. Lee, Y. J., 2000, "A Study on the Development of Body Panel Automatic Inspection System using Visual Sensor," A treatise in the Autumn Congress in 2000 by KSMTE; The Korean Society of Machine Tool Engineers, pp. 51-56.
  15. Tian, Y., Wang, Y., Hao, C., and Chen, S., 2007, "3-D Interpolation of Medical Image Based on the Optimal Cubic Convolution Kernel," Second IEEE Conference on Industrial Electronic and Applications, pp. 112-117.
  16. Zhang, L. and Wu, X., 2007, "An Edge Guided Image Interpolation Algorithm via Directional Filtering and Data Fusion," IEEE Transaction on Image Processing, Vol. 15, No. 8, pp. 2226-2238.