Citation

Sim, Kok Swee and Tso, Chih Ping and Yeap, Zhi Xuan (2018) Adaptive tuning piecewise cubic Hermite interpolation with Wiener filter in wavelet domain for scanning electron microscope images. Microscopy Research and Technique, 82 (4). pp. 402-414. ISSN 1097-0029

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Abstract

Image processing is introduced to remove or reduce the noise and unwanted signal that deteriorate the quality of an image. Here, a single level two‐dimensional wavelet transform is applied to the image in order to obtain the wavelet transform sub‐band signal of an image. An estimation technique to predict the noise variance in an image is proposed, which is then fed into a Wiener filter to filter away the noise from the sub‐band of the image. The proposed filter is called adaptive tuning piecewise cubic Hermite interpolation with Wiener filter in the wavelet domain. The performance of this filter is compared with four existing filters: median filter, Gaussian smoothing filter, two level wavelet transform with Wiener filter and adaptive noise Wiener filter. Based on the results, the adaptive tuning piecewise cubic Hermite interpolation with Wiener filter in wavelet domain has better performance than the other four methods.

Item Type:	Article
Uncontrolled Keywords:	Scanning electron microscopes, Noise estimation, noise filtering, signal-to-noise ratio
Subjects:	T Technology > TA Engineering (General). Civil engineering (General) > TA1501-1820 Applied optics. Photonics
Divisions:	Faculty of Engineering and Technology (FET)
Depositing User:	Ms Suzilawati Abu Samah
Date Deposited:	26 Jul 2021 03:51
Last Modified:	07 Mar 2022 03:23
URII:	http://shdl.mmu.edu.my/id/eprint/7681

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