A Video Based Interface to Textual Information for the Visually Impaired
ICMI '02 Proceedings of the 4th IEEE International Conference on Multimodal Interfaces
A Bayes-spectral-entropy-based measure of camera focus using a discrete cosine transform
Pattern Recognition Letters
Measure of image sharpness using eigenvalues
Information Sciences: an International Journal
iProCam: a lens-sharing projector-camera system for augmented reality applications
CHI '07 Extended Abstracts on Human Factors in Computing Systems
A robust eyelash detection based on iris focus assessment
Pattern Recognition Letters
A study on iris localization and recognition on mobile phones
EURASIP Journal on Advances in Signal Processing
Auto focusing under microscopic views by integrating multiple measures
CAR'10 Proceedings of the 2nd international Asia conference on Informatics in control, automation and robotics - Volume 1
A dedicated hardware architecture for real-time auto-focusing using an FPGA
Machine Vision and Applications - Integrated Imaging and Vision Techniques for Industrial Inspection
A study on fast iris image acquisition method
CAIP'05 Proceedings of the 11th international conference on Computer Analysis of Images and Patterns
A study on fast iris restoration based on focus checking
AMDO'06 Proceedings of the 4th international conference on Articulated Motion and Deformable Objects
A real-time iris image acquisition algorithm based on specular reflection and eye model
ACIVS'05 Proceedings of the 7th international conference on Advanced Concepts for Intelligent Vision Systems
Auto-focusing in extreme zoom surveillance: a system approach with application to faces
ISVC'06 Proceedings of the Second international conference on Advances in Visual Computing - Volume Part I
A study on iris image restoration
AVBPA'05 Proceedings of the 5th international conference on Audio- and Video-Based Biometric Person Authentication
A new sampling method of auto focus for voice coil motor in camera modules
PSIVT'06 Proceedings of the First Pacific Rim conference on Advances in Image and Video Technology
The Weibull manifold in low-level image processing: An application to automatic image focusing
Image and Vision Computing
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Most conventional autofocusing techniques based on the gradient estimator are very sensitive to noise. A new autofocusing technique which is resistive to noise generated by the CCD of video cameras is proposed. In the proposed scheme, the frequency selective weighted median (FSWM) filter is utilized to estimate the degree of focus and the fast hill-climbing search (HCS) strategy is exploited to determine the best focused image. Since the FSWM filter can not only extract high frequency components from the image, but also eliminate impulsive noise, the proposed autofocusing method employing the FSWM criterion function can estimate the degree of focus precisely. Furthermore, the proposed real-time HCS algorithm enables the video camera to continuously focus on dynamic images. Experimental results demonstrate that the proposed technique outperforms existing techniques by enhancing the accuracy of the focus value of the video camera without the influence of noise