Research Article
BibTex RIS Cite

Optimized Parameters for Bell-Shaped Error Function in Image Denoising

Year 2017, Volume: 18 Issue: 5, 988 - 999, 31.12.2017
https://doi.org/10.18038/aubtda.346122

Abstract

Adaptive image denoising algorithms rely on an error
function that measure the distance between an estimated result and
expectations. Selection of the error function and its parameters are crucial
for a successful denoising implementation. In this paper, a method for
determining close-to-optimal parameters for a bell-shaped error function is
evaluated. The function with calculated parameters is employed within a
gradient optimization algorithm and tested using test images with varying noise
types and levels. The restoration results of the denoising test runs that use
the proposed parameters are compared against the results of algorithms that
employ well-known least squares and sum of absolute differences methods along
with a method that combines both. The clear superiority of the bell-shaped
error function for the proposed parameters is shown by the test results.

References

  • Banham MR, Katsaggelos AK. Digital image restoration. IEEE Signal Proc Mag 1997; 14 (2): 24-41.
Year 2017, Volume: 18 Issue: 5, 988 - 999, 31.12.2017
https://doi.org/10.18038/aubtda.346122

Abstract

References

  • Banham MR, Katsaggelos AK. Digital image restoration. IEEE Signal Proc Mag 1997; 14 (2): 24-41.
There are 1 citations in total.

Details

Subjects Engineering
Journal Section Articles
Authors

Kemal Özkan

Erol Seke

Publication Date December 31, 2017
Published in Issue Year 2017 Volume: 18 Issue: 5

Cite

APA Özkan, K., & Seke, E. (2017). Optimized Parameters for Bell-Shaped Error Function in Image Denoising. Anadolu University Journal of Science and Technology A - Applied Sciences and Engineering, 18(5), 988-999. https://doi.org/10.18038/aubtda.346122
AMA Özkan K, Seke E. Optimized Parameters for Bell-Shaped Error Function in Image Denoising. AUJST-A. December 2017;18(5):988-999. doi:10.18038/aubtda.346122
Chicago Özkan, Kemal, and Erol Seke. “Optimized Parameters for Bell-Shaped Error Function in Image Denoising”. Anadolu University Journal of Science and Technology A - Applied Sciences and Engineering 18, no. 5 (December 2017): 988-99. https://doi.org/10.18038/aubtda.346122.
EndNote Özkan K, Seke E (December 1, 2017) Optimized Parameters for Bell-Shaped Error Function in Image Denoising. Anadolu University Journal of Science and Technology A - Applied Sciences and Engineering 18 5 988–999.
IEEE K. Özkan and E. Seke, “Optimized Parameters for Bell-Shaped Error Function in Image Denoising”, AUJST-A, vol. 18, no. 5, pp. 988–999, 2017, doi: 10.18038/aubtda.346122.
ISNAD Özkan, Kemal - Seke, Erol. “Optimized Parameters for Bell-Shaped Error Function in Image Denoising”. Anadolu University Journal of Science and Technology A - Applied Sciences and Engineering 18/5 (December 2017), 988-999. https://doi.org/10.18038/aubtda.346122.
JAMA Özkan K, Seke E. Optimized Parameters for Bell-Shaped Error Function in Image Denoising. AUJST-A. 2017;18:988–999.
MLA Özkan, Kemal and Erol Seke. “Optimized Parameters for Bell-Shaped Error Function in Image Denoising”. Anadolu University Journal of Science and Technology A - Applied Sciences and Engineering, vol. 18, no. 5, 2017, pp. 988-99, doi:10.18038/aubtda.346122.
Vancouver Özkan K, Seke E. Optimized Parameters for Bell-Shaped Error Function in Image Denoising. AUJST-A. 2017;18(5):988-99.