Detection of single image spatially varying blur is a challenging task. Here, the authors propose a powerful spatially varying blur detection method.
Blur is caused by a pixel receiving light from multiple scene points, and in many cases, such as object motion, the induced blur varies spatially across the ...
Feb 27, 2024 · In this paper, we introduce a histogram-invariant spatial aliasing sampling method for reconstructing all-in-focus images, which addresses the challenge of ...
Aug 21, 2013 · A PSF for a defocus blur can be specified by a single parameter indicating its scale. Most existing algorithms can only select an optimal blur ...
This method is capable of measuring the probability of local defocus scale in the continuous domain. It also takes smoothness and color edge information into ...
Jul 30, 2021 · We formulate the problem of estimating the spatially varying defocus blurriness as a Gaussian blur classification problem.
Blur is caused by a pixel receiving light from multiple scene points, and in many cases, such as object motion, the induced blur varies spatially across the ...
Mar 11, 2024 · In this paper, we introduce a histogram-invariant spatial aliasing sampling method for reconstructing all-in-focus images, which addresses the ...
ABSTRACT. This paper addresses the problem of two-layer out-of-focus blur removal from a single image, in which either the foreground or the background is ...
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A blur map allows one to reconstruct a 3D scene from a single photograph as long as the camera settings (focal length, aperture settings, etc.) are known. For ...