English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

The condition monitoring and fault diagnosis of has attracted more and more attention by the infrared technology. The image acquired infrared thermal imaging system is affected by some factors, which needs to be enhanced, so in order to deal with the low contrast and fuzzy human visual defect of the infrared image, The article deal with the image to get to low frequency and high frequency components by the wavelet transform, then the low frequency wavelet coefficients were disposed by homomorphic filtering, and the high frequency wavelet coefficients were enhanced by median filtering. Finally, the reconstructed infrared image with enhancement was obtained by using the inverse wavelet transform. The experimental results show that the meth-od performs well in increasing the image detailed information and improving the gray contrast. The results are consistent with the human visual properties. KEYWORD: Wavelet transform; Homomorphic filtering; Median filtering; image enhance.

Image Noise Reduction Processing Research Based on Wavelet Transform Combination with Homomorphic Filtering