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Proceedings Paper

A new auto-focusing algorithm for digital camera
Author(s): Xin Wang
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Paper Abstract

At present there are still many shortcomings in auto-focusing techniques used in digital imaging systems because of the complexity of imaging objects and conditions. Especially the problem that how to improve the auto-focusing velocity is far from completely solved because the contradiction between focusing speed and focusing precision. In this paper, a novel auto-focusing algorithm is proposed. We present a new measure of image focus based on lifting wavelet transform, which possesses the stable, highly sensitive characteristic curve preferring to small-scale accurate focusing. Compared with the traditional focus measures, the new evaluation function proposed has the fastest calculating speed and the best robust performance for different scenes while ensuring the highest sensitivity. The long-range coarse focusing is gotten by Variance function for its large range of auto-focusing and good stability. The new proposed measure is used to realize the fine focusing in a narrow range by Gauss interpolation. We experimentally illustrate its performance on simulated as well as real data and demonstrate that the algorithm can focus quickly with high focusing accuracy.

Paper Details

Date Published: 6 August 2009
PDF: 7 pages
Proc. SPIE 7384, International Symposium on Photoelectronic Detection and Imaging 2009: Advances in Imaging Detectors and Applications, 73842H (6 August 2009); doi: 10.1117/12.836231
Show Author Affiliations
Xin Wang, Changchun Univ. of Technology (China)


Published in SPIE Proceedings Vol. 7384:
International Symposium on Photoelectronic Detection and Imaging 2009: Advances in Imaging Detectors and Applications
Kun Zhang; Xiang-jun Wang; Guang-jun Zhang; Ke-cong Ai, Editor(s)

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