Adaptive tuning piecewise cubic Hermite interpolation with Wiener filter in wavelet domain for scanning electron microscope images
العنوان: | Adaptive tuning piecewise cubic Hermite interpolation with Wiener filter in wavelet domain for scanning electron microscope images |
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المؤلفون: | Zhi Xuan Yeap, Kok Swee Sim, C. P. Tso |
المصدر: | Microscopy Research and Technique. 82:402-414 |
بيانات النشر: | Wiley, 2018. |
سنة النشر: | 2018 |
مصطلحات موضوعية: | Histology, Computer science, Wiener filter, MathematicsofComputing_NUMERICALANALYSIS, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Gaussian blur, Wavelet transform, 030206 dentistry, 02 engineering and technology, Filter (signal processing), 021001 nanoscience & nanotechnology, 03 medical and health sciences, Medical Laboratory Technology, Noise, symbols.namesake, 0302 clinical medicine, Wavelet, Hermite interpolation, symbols, Median filter, Anatomy, 0210 nano-technology, Instrumentation, Algorithm |
الوصف: | 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. |
تدمد: | 1097-0029 1059-910X |
URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a49203c79c31748c563925b988d65ae7 https://doi.org/10.1002/jemt.23181 |
حقوق: | CLOSED |
رقم الأكسشن: | edsair.doi.dedup.....a49203c79c31748c563925b988d65ae7 |
قاعدة البيانات: | OpenAIRE |
تدمد: | 10970029 1059910X |
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