Journal ArticleDOI
Defocus from depth for defocus measurement
TLDR
The main relations among image defocus, sensordefocus, and scene defocus for an imaging system are introduced and a novel method based on the defocus origin that is essentially the reverse of depth from defocus (DFD).Abstract:Â
A novel method is proposed for defocus map estimation. It is based on the defocus origin that is essentially the reverse of depth from defocus (DFD). The main relations among image defocus, sensor defocus, and scene defocus for an imaging system are introduced. A defocus map is deduced from the depth map and the depth map is derived from the disparity map. The full disparity map can be reconstructed using an image-matching method and our clustering segmentation algorithm. Experimental results for an interior scene and an outdoor scene demonstrate that our method is effective in defocus measurement.read more
Citations
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Journal ArticleDOI
Depth recovery and refinement from a single image using defocus cues
TL;DR: This method builds on the universal imaging principle: only scene at the focus distance will converge to a single sharp point on imaging sensor but other scene will yield different blur effects varying with its distance from the camera lens.
Journal ArticleDOI
Depth-based computational photography
TL;DR: A depth-based computational photography model is proposed for all-in-focus image capture that adopts an energy functional minimization method to acquire the sharpest image pieces separately.
References
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Journal ArticleDOI
Distinctive Image Features from Scale-Invariant Keypoints
TL;DR: This paper presents a method for extracting distinctive invariant features from images that can be used to perform reliable matching between different views of an object or scene and can robustly identify objects among clutter and occlusion while achieving near real-time performance.
Journal ArticleDOI
Defocus map estimation from a single image
Shaojie Zhuo,Terence Sim +1 more
TL;DR: This paper presents a simple yet effective approach to estimate the amount of spatially varying defocus blur at edge locations, and demonstrates the effectiveness of this method in providing a reliable estimation of the defocus map.
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Coded Aperture Pairs for Depth from Defocus and Defocus Deblurring
TL;DR: A criterion for evaluating a pair of apertures with respect to the precision of depth recovery is derived and these two coded aperture are found to complement each other in the scene frequencies they preserve.
Journal ArticleDOI
Optimal defocus estimation in individual natural images
Johannes Burge,Wilson S. Geisler +1 more
TL;DR: A principled general framework for analyzing the psychophysics and neurophysiology of defocus estimation in species across the animal kingdom and for developing optimal image-based defocus and depth estimation algorithms for computational vision systems is provided.
Journal ArticleDOI
Defocus map estimation from a single image via spectrum contrast.
TL;DR: The proposed method takes into consideration not only the affect of light refraction but also the blur texture of an image, and is more reliable in defocus map estimation compared to various state-of-the-art methods.