Communications - Scientific Letters of the University of Zilina 2000, 2(2):16-20 | DOI: 10.26552/com.C.2000.2.16-20

Salt & pepper noise impact on image coding based on image splitting

Milan Karpf1, Boris Simak1
1 Department of Telecommunication Engineering, Faculty of Electrical Engineering, Czech Technical University, Prague, Czech Republic

The paper deals with the influence of noise and two control parameters on a segmentation method for image coding. Dynamic min_max criterion and variance criterion were used as segmentation control parameters. For the segmentation of images we have used the method of image splitting. The influence of the value of variance and dynamic criterion on the quality of the segmentation coded image is demonstrated. We have evaluated the objective criterion of the quality of the image (peak signal-to-noise ratio) and number of regions in the image for different values of segmentation control parameters and noise density.

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Published: June 30, 2000  Show citation

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Karpf, M., & Simak, B. (2000). Salt & pepper noise impact on image coding based on image splitting. Communications - Scientific Letters of the University of Zilina2(2), 16-20. doi: 10.26552/com.C.2000.2.16-20
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References

  1. CORTEZ, D., NUNES, P., SEQUEIRA, M. M., PEREIRA, F.: Image Segmentation Towards New Image Representation Methods. Signal Processing: Image Comm., vol. 6, Nov. 1995, pp. 485-498 Go to original source...
  2. VAISEY, J., GERSHO, A.: Image Compression with Variable Block Size Segmentation. IEEE Trans. Signal Processing, vol. 40, Aug. 1992, pp. 2040-2060 Go to original source...
  3. KARPF, M.: Video Coding, Second Generation Methods, journal T&P, ISSN 1211-5525, July 1999, pp. 14-15
  4. CHEEVASUVIT, F., MAITRE, H., VIDAL-MADJAR, D.: A Robust Method for Picture Segmentation Based on a Split and Merge Procedure. Département I.S.S.V. - Laboratoire Image. ENST - 84C006, Aout 1984, 25 p.
  5. WILLEMIN, P., REED, T. R., KUNT, M.: Image Sequence Coding by Split and Merge. IEEE Trans. on Communications, vol. 39, No. 12., December 1991, pp. 1845-1855 Go to original source...
  6. LIM, J.S., LIM J.S.: Two-Dimensional Signal and Image Processing. Prentice Hall, November 1989, 880 p.
  7. Using MATLAB. The MathWorks, Inc, June 1997, 410 p.

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