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《Opto-Electronic Engineering》 2008-08
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Real-time Auto-focusing Algorithm for Digital Video Camera

SHENG Yun,QIN Ya-jie,HONG Zhi-liang ( State Key Lab of ASIC and System, Fudan University, Shanghai 201203, China )  
Digital video camera has the properties of large noise, uncertain location of main body and high requirement of real-time. The disadvantages of traditional auto-focusing algorithms were discussed in detail and a new auto-focusing algorithm was proposed. A novel focus measure filter called First Derivative of Gaussian (FDOG) was developed to estimate the degree of focusing correctly by the suppressing high frequency noise. To enable the auto-focusing system to focus on the exact main body, an automatic region-of-interest selection strategy based on the principle of nearest-subject-priority was adopted. Furthermore, combined with mountain-climbing search, binary search and quadratic interpolation, the proposed real-time search strategy greatly reduces the convergence time by about 40%, which enables the video camera to fast focus. The proposed algorithm is successfully implemented on a prototype digital video camera and experiment results are given to demonstrate the advantages of the proposed auto-focusing algorithm.
【CateGory Index】: TB852.1
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