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Development and real-time implementation of a rule-based auto-focus algorithm

✍ Scribed by N. Kehtarnavaz; H.-J. Oh

Publisher: Elsevier Science
Year: 2003
Tongue: English
Weight: 459 KB
Volume: 9
Category: Article
ISSN: 1077-2014
DOI: 10.1016/s1077-2014(03)00037-8

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✦ Synopsis

This paper presents the development and real-time implementation of a rule-based approach to passive auto-focusing for digital still cameras. The implementation is performed on the processor DM310 which is specifically manufactured by Texas Instruments for digital still cameras. The squared-gradient sharpness function is considered to measure the amount of high-frequency content in an out-of-focus image. This sharpness function is then used within a rule-based search algorithm to obtain the focused lens position via moving the lens head step-motor. The developed rule-based approach is compared to the commonly used global search and binary search algorithms in terms of focusing speed and power consumption. It is shown that the introduced rule-based search algorithm achieves a lower number of focusing iterations or faster focusing speed, and a lower number of steps or lower power consumption.

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