Results 111 to 120 of about 9,413,043 (217)
Blind motion deblurring using image statistics
, 2008 We address the problem of blind motion deblurring from a single image, caused by a few moving objects. In such situations only part of the image may be blurred, and the scene consists of layers blurred in different degrees.
Anat Levin
core
Blind motion deblurring using image statistics
, 2006 We address the problem of blind motion deblurring from a single image, caused by a few moving objects. In such situations only part of the image may be blurred, and the scene consists of layers blurred in different degrees.
Anat Levin
core
Iterative blind image motion deblurring via learning a no-reference image quality measure
, 2012 [[abstract]]In this paper, we propose a learning-based image restoration algorithm for restoring images degraded by uniform motion blurs. The motion blur parameters are first approximately estimated from the robust global motion estimation result.
Wen-Hao Lee;Shang-Hong Lai;Chia-Lun Chen
core +1 more source
Blind Image Deblurring via Bayesian Estimation Using Expected Loss
IEEE AccessThis paper introduces a new approach to single image blind deblurring via Bayesian estimation using expected loss, diverging from traditional maximum a posteriori (MAP) estimation methods that are limited by the delta kernel problem-a phenomenon where ...
Jinook Lee, Moon Gi Kang
doaj +1 more source
, 2010 Recent advances in total least squares approaches for solving various errors-in-variables modeling problems are reviewed, with emphasis on the following generalizations: 1.
Markovsky, Ivan +2 more
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A Novel Geometric Algorithm for Blind Image Restoration Based on High-Dimensional Space
, 2010 A novel geometric algorithm for blind image restoration is proposed in this paper, based on High-Dimensional Space Geometrical Informatics (HDSGI) theory. In this algorithm every image is considered as a point, and the location relationship of the points
Wang SJ (Wang Shoujue) +2 more
core
Uncertainty Propagation in Image Deblurring [PDF]
Image blur often hinders radiographic data analysis. By approaching image deblurring as an ill-posed inverse problem, methods such as Tikhonov and Total Variation Regularization provide ample solutions. As non-blind methods, the regularization requires a
Sigel, Eleanor +2 more
core
Blind motion deblurring using thinning kernel
, 2016 碩士盲目影像清晰化主要分為兩個部分：估計過渡影像和估計blur kernel。由於輸入的模糊影像給予足夠的影像資訊，而blur kernel幾乎完全沒有資訊，因此過去的盲目影像清晰化的方法多著重於估計過渡影像的部分。本論文主要研究由照相機晃動導致的模糊影像，並著重於blur kernel的估計。首先，經由相機的晃動軌跡，對blur kernel模型提出簡單的推論與假設；接著以兩個步驟的方式來估計blur kernel，藉此改善資訊不足的問題。本論文先以較為寬鬆的條件求得blur kernel可能的外型 ...
陳品安;Chen, Pin-An
core
MTF-Based Performance Comparison of Techniques for Deblurring Optical Satellite Imagery
Havacılık ve Uzay Teknolojileri DergisiBlurring is a significant concern in electro-optical satellite imagery due to its negative effect on image quality, which is caused by an undesirable loss of bandwidth.Blurred images and compromised image quality may result
Necip Gökhan Kasapoğlu +4 more
doaj
Physically Guided Attention Mechanism for Underwater Motion Deblurring via Cepstrum-Based Blur Estimation. [PDF]
J ImagingHu N, Li S, Tan J.
europepmc +1 more source