A New Sense for Depth of Field
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Generalized Depth Estimation Algorithm with a Single Image
IEEE Transactions on Pattern Analysis and Machine Intelligence
An Investigation of Methods for Determining Depth from Focus
IEEE Transactions on Pattern Analysis and Machine Intelligence
Depth from defocus: a spatial domain approach
International Journal of Computer Vision
Separation of Transparent Layers using Focus
International Journal of Computer Vision
Depth from defocus estimation in spatial domain
Computer Vision and Image Understanding
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Consumer Electronics
Simultaneous out-of-focus blur estimation and restoration for digital auto-focusing system
IEEE Transactions on Consumer Electronics
Implementation of a passive automatic focusing algorithm for digital still camera
IEEE Transactions on Consumer Electronics
Shape from focus using multilayer feedforward neural networks
IEEE Transactions on Image Processing
Enabling View-Dependent Stereoscopic Projection in Real Environments
ISMAR '05 Proceedings of the 4th IEEE/ACM International Symposium on Mixed and Augmented Reality
Multifocal Projection: A Multiprojector Technique for Increasing Focal Depth
IEEE Transactions on Visualization and Computer Graphics
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In this paper, we propose a robust and computationally fast focus measure for cathode ray tubes (CRTs) found in TVs and computer and video monitors. The focus measure is represented by the area ratio of a predetermined object pattern in the test image of a fixed size, which increases in size as the degree of defocus increases. The area ratio is calculated using a simple, straightforward moment-preserving method. On-line, real-time application of focus adjustment can be realized with the proposed method.