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Improved threshold function image denoising method
Author(s): Mengtao Huang; Lu Wang
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Paper Abstract

In this paper, an improved threshold function is proposed for the discontinuity problem of hard threshold function and the constant deviation of original wavelet coefficients and estimated coefficients in soft threshold function. This function improves the deficiency of traditional threshold function by introducing control coefficients, and the function have certain flexibility. The experimental results show that the improved wavelet threshold function has a better effect in removing image gaussian noise than traditional threshold function. Moreover, the PSNR(peak signal to noise ratio ) and EPI (edge retention index) values of the image are both improved.

Paper Details

Date Published: 31 July 2019
PDF: 5 pages
Proc. SPIE 11198, Fourth International Workshop on Pattern Recognition, 1119808 (31 July 2019); doi: 10.1117/12.2540756
Show Author Affiliations
Mengtao Huang, Xi'an Univ. of Science and Technology (China)
Lu Wang, Xi'an Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 11198:
Fourth International Workshop on Pattern Recognition
Xudong Jiang; Zhenxiang Chen; Guojian Chen, Editor(s)

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