Intelligent actuation strategy via image feedbacks for a magnetically actuated autofocusing module in mobile phones

Chang-Po Chao, Chi W. Chiu, He K. Liang, N. Y Y Kao

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

This study proposes a new miniaturized autofocusing mechanism and an intelligent autofocusing algorithm with digital images as feedbacks. An actuation scheme for autofocusing is fostered via (1) capturing image by a complementary metal-oxide semiconductor sensor array, (2) evaluating the clearness of images by the well-known method of discrete cosine transformation (DCT), and (3) actuating the lens in the designed mechanism to the best-focusing position estimated by a neural network (NN), assisted by a genetic algorithm (GA).

Original languageEnglish
Article number07F123
JournalJournal of Applied Physics
Volume103
Issue number7
DOIs
StatePublished - 21 Apr 2008

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