Title :
The Study of Image Definition Evaluation Function Based on Wavelet Filter
Author :
Chen Guojin ; Miaofen, Zhu ; Xiaoguang, Qiu
Author_Institution :
Hangzhou Dianzi Univ., Hangzhou
Abstract :
The auto-focus method based on digital image processing results from the innovation of the traditional auto-focus method. Generally speaking, the traditional auto-focus method needs extra focus equipment and can be disturbed easily by environment factors. So the application of the traditional auto- focus method is limited hugely. The auto-focus method based on digital image processing is usually achieved by image definition evaluation functions. The paper studies the structure of two-dimension minimum isotropy wavelet filters and propounds the image definition evaluation based on a wavelet filter. In the paper, the evaluation function based on the wavelet filter is compared with the evaluation function based on the Laplacian operator by using the auto-focus system of a microscope. The experiment results indicate that the auto-focus algorithm based on the isotropy wavelet filter has good performance.
Keywords :
Laplace transforms; filtering theory; image processing; wavelet transforms; Laplacian operator; auto-focus method; digital image processing; image definition evaluation function; isotropy wavelet filter; Costs; Digital filters; Digital images; Finite impulse response filter; Frequency; Hardware; IIR filters; Image edge detection; Interpolation; Space technology; auto-focus; edge extracting; image definition evaluation function; image pretreatment; microscope; two-dimension minimum isotropy wavelet filter;
Conference_Titel :
Virtual Environments, Human-Computer Interfaces and Measurement Systems, 2007. VECIMS 2007. IEEE Symposium on
Conference_Location :
Ostuni
Print_ISBN :
978-1-4244-0820-7
Electronic_ISBN :
978-1-4244-0820-7
DOI :
10.1109/VECIMS.2007.4373942