DocumentCode
3269523
Title
Autofocus algorithm based on Wavelet Packet Transform for infrared microscopy
Author
Fan, Zhigang ; Chen, Shouqian ; Hu, Haili ; Chang, Hong ; Fu, Qiang
Author_Institution
Res. Center for Space Opt. Eng., Harbin Inst. of Technol., Harbin, China
Volume
5
fYear
2010
fDate
16-18 Oct. 2010
Firstpage
2510
Lastpage
2514
Abstract
A new autofocus algorithm based on Wavelet Packet Transform (WPT) was presented to find the best focus of infrared microscopy, which is applied to test the defocusing amounts of athermalized infrared optical system. According to the statistical analysis of the gradient of image, the focus function was obtained by weighting the decomposition coefficients of wavelet packet. Experimental results demonstrated the algorithm had high sensitivity and accuracy for the true focus position from a series of infrared images. Furthermore, the autofocus algorithm was compared with some well-know algorithm like the Sobel Gradient(SG), the Sum-Modified Laplacian(SML) and the Discrete Cosine Transform(DCT) method in order to prove its performance.
Keywords
gradient methods; image processing; optical images; optical microscopy; statistical analysis; wavelet transforms; WPT; athermalized infrared optical system; autofocus algorithm; decomposition coefficient; image gradient; infrared microscopy; statistical analysis; wavelet packet transform; Algorithm design and analysis; Microscopy; Optical imaging; Optical microscopy; Wavelet packets; autofocus algorithm; image gradient; infrared image; wavelet packet transform;
fLanguage
English
Publisher
ieee
Conference_Titel
Image and Signal Processing (CISP), 2010 3rd International Congress on
Conference_Location
Yantai
Print_ISBN
978-1-4244-6513-2
Type
conf
DOI
10.1109/CISP.2010.5647471
Filename
5647471
Link To Document