Research on Image Focusing Method and System with Wavelet Filtering

The definition evaluation function of a digital image is structured by combining the wavelet transform with the energy function. The paper studied the image feature extraction using the smallest two-dimensional isotropic wavelet filter, set up the image definition evaluation model based on the wavel...

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Bibliographic Details
Published in2010 International Conference on Optoelectronics and Image Processing Vol. 2; pp. 236 - 239
Main Authors Chen Guojin, Zhu Miaofen, Li Yongning, Wang Wanqiang
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.11.2010
Subjects
Auto-focusing
Band pass filters
Focusing
Image edge detection
Image processing
Information filters
Low pass filters
Microscope
Wavelet filter
Wavelet transforms
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Summary:The definition evaluation function of a digital image is structured by combining the wavelet transform with the energy function. The paper studied the image feature extraction using the smallest two-dimensional isotropic wavelet filter, set up the image definition evaluation model based on the wavelet filter by obtaining the edge information directly from the original image through the band-pass wavelet filter G0 and combining the image energy analysis, and proposed the image auto-focusing method based on the smallest isotropic wavelet filter. Applying the experimental platform constructed with a microscope auto-focusing system, the evaluation model based on the wavelet filter is compared with the evaluation based on the Laplacian. The experimental results show that the auto-focusing method and system based on the minimum isotropic wavelet filter has a better integrated focusing performance.
ISBN:9781424486830
1424486831
DOI:10.1109/ICOIP.2010.162