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Fuzzy Auto- Focus Approaches for Digital Cameras
This thesis presents fuzzy autofocus algorithms for single-len digital cameras. These algorithms are used to strengthen or improve present autofocus functions of the digital cameras; in particular, they are aimed to slove for some difficult focusing problems occurring in presence of high light-dark constrast, low luminanace, and fast-moving objects, etc. To overcome the aforementioned problems, the developed approaches will enable the digital camera to judge its focusing information and then execute designed fuzzy rules to calculate the appropriate focusing increment in order to obtain correct image formation while shooting. In the thesis, the sytem configuration and calibration of a multi-point autofocus camera with muti-base point strored image sensors are described in detail. A practical fuzzy autofocusing algorithm is proposed via the multi-base point stored image sensors, and then used to deal with the autofocus problem of the subjects with high light-dark contrast. To shoot the fast-moving objects in a more clear way, a fuzzy autofocus method together with the well-known least-squares motion prediction method is presented to calculate adequate focusing increment before shooting. Several experimental results are used to show the feasibility and validity of the proposed methods. These technologies are expected to be useful for commercial digital cameras, cinecameras, monitors and any optical-electromechanical equipment with autofocusing.
|Appears in Collections:||電機工程學系所|
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