Selecting the Optimal Focus Measure for Autofocusing and Depth-From-Focus
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Artificial Intelligence: A Modern Approach
Artificial Intelligence: A Modern Approach
Fragmentation in the Vision of Scenes
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Numerical Recipes 3rd Edition: The Art of Scientific Computing
Numerical Recipes 3rd Edition: The Art of Scientific Computing
A passive auto-focus camera control system
Applied Soft Computing
Spatio-chromatic image content descriptors and their analysis using extreme value theory
SCIA'11 Proceedings of the 17th Scandinavian conference on Image analysis
The stochastic structure of images
Scale-Space'05 Proceedings of the 5th international conference on Scale Space and PDE Methods in Computer Vision
New autofocusing technique using the frequency selective weighted median filter for video cameras
IEEE Transactions on Consumer Electronics
IEEE Transactions on Consumer Electronics
IEEE Transactions on Consumer Electronics
A novel training based auto-focus for mobile-phone cameras
IEEE Transactions on Consumer Electronics
Enhanced Autofocus Algorithm Using Robust Focus Measure and Fuzzy Reasoning
IEEE Transactions on Circuits and Systems for Video Technology
A Derivative-Based Fast Autofocus Method in Electron Microscopy
Journal of Mathematical Imaging and Vision
Advanced Color Image Processing and Analysis
Advanced Color Image Processing and Analysis
Fisher information and the combination of RGB channels
CCIW'13 Proceedings of the 4th international conference on Computational Color Imaging
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In this paper, we introduce a novel framework for low-level image processing and analysis. First, we process images with very simple, difference-based filter functions. Second, we fit the 2-parameter Weibull distribution to the filtered output. This maps each image to the 2D Weibull manifold. Third, we exploit the information geometry of this manifold and solve low-level image processing tasks as minimisation problems on point sets. For a proof-of-concept example, we examine the image autofocusing task. We propose appropriate cost functions together with a simple implicitly-constrained manifold optimisation algorithm and show that our framework compares very favourably against common autofocus methods from literature. In particular, our approach exhibits the best overall performance in terms of combined speed and accuracy.