Results 71 to 80 of about 14,030 (199)
Deblurring shaken and partially saturated images [PDF]
2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops), 2011 We address the problem of deblurring images degraded by camera shake blur and saturated or over-exposed pix- els. Saturated pixels are a problem for existing non-blind deblurring algorithms because they violate the assumption that the image formation process is linear, and often cause significant artifacts in deblurred outputs.
Whyte, O, Sivic, J, Zisserman, A
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Deep Learning Integration in Optical Microscopy: Advancements and Applications
Microscopy Research and Technique, Volume 89, Issue 5, Page 791-814, May 2026.It explores the integration of DL into optical microscopy, focusing on key applications including image classification, segmentation, and computational reconstruction. ABSTRACT Optical microscopy is a cornerstone imaging technique in biomedical research, enabling visualization of subcellular structures beyond the resolution limit of the human eye ...
Pottumarthy Venkata Lahari +5 more
wiley +1 more source
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020 This article presents an image deblurring method using ℓ0-norm-based deblurring and ℓ2-norm-based texture-aware image fusion for remote sensing images.
Heunseung Lim +4 more
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Photographic Image Restoration [PDF]
, 1991 Deblurring capabilities would significantly improve the Flight Science Support Office's ability to monitor the effects of lift-off on the shuttle and landing on the orbiter.
Hite, Gerald E.
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Image Restoration Using Joint Statistical Modeling in Space-Transform Domain
, 2014 This paper presents a novel strategy for high-fidelity image restoration by characterizing both local smoothness and nonlocal self-similarity of natural images in a unified statistical manner. The main contributions are three-folds.
Gao, Wen +4 more
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Deblurring Face Images with Exemplars [PDF]
, 2014 The human face is one of the most interesting subjects involved in numerous applications. Significant progress has been made towards the image deblurring problem, however, existing generic deblurring methods are not able to achieve satisfying results on blurry face images.
Jin-shan Pan +3 more
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Blind Image Deblurring: a Review
CoRR, 2022 This is a review on blind image deblurring. First, we formulate the blind image deblurring problem and explain why it is challenging. Next, we bring some psychological and cognitive studies on the way our human vision system deblurs. Then, relying on several previous reviews, we discuss the topic of metrics and datasets, which is non-trivial to blind ...
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Non-uniform deblurring for shaken images [PDF]
2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2010 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Whyte +6 more
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Magnetic Resonance in Medicine, Volume 95, Issue 5, Page 2702-2717, May 2026.ABSTRACT Purpose To achieve high resolution (≤ 1 mm isotropic) whole‐brain perfusion imaging at 7 T with next generation ASL pulse sequence, reconstruction algorithm, and MRI hardware. Methods We capitalized on three major innovations: (1) FLASH‐based pseudo‐Continuous ASL (pCASL) sequence with rotated golden‐angle stack‐of‐spirals (rGA‐SoS) sampling; (
Chenyang Zhao +8 more
wiley +1 more source
Real-time image acquisition and deblurring for underwater gravel extraction by smartphone
International Journal of Automation and Smart Technology, 2014 Gravel size distribution is an important aspect of stream investigation. Using water photography to determine such distribution is a simple and cost-effective approach for gathering instream gravel information.
Ming-Fu Chen +4 more
doaj +1 more source