Results 61 to 70 of about 512,229 (281)

Depth perception with gaze-contingent depth of field [PDF]

open access: yes, 2014
Blur in images can create the sensation of depth because it emulates an optical property of the eye; namely, the limited depth of field created by the eye's lens. When the human eye looks at an object, this object appears sharp on the retina, but objects
Miguel A. Nacenta   +7 more
core   +1 more source

Stem Cell Differentiation Disperses Transcriptional Clusters via a Conserved Surface‐Condensate Trajectory

open access: yesAdvanced Science, EarlyView.
Stem cell differentiation follows a conserved surface condensate trajectory: H3K27ac super enhancers nucleate large RNA polymerase II clusters that grow and unfold before transcriptional activity disperses them. This work reveals how biophysical forces at enhancer surfaces dynamically build and dismantle stem cell transcription hubs, reshaping cell ...
Tim Klingberg   +18 more
wiley   +1 more source

Deep Self-Learning Network for Adaptive Pansharpening

open access: yesRemote Sensing, 2019
Deep learning (DL)-based paradigms have recently made many advances in image pansharpening. However, most of the existing methods directly downscale the multispectral (MSI) and panchromatic (PAN) images with default blur kernel to construct the training ...
Jie Hu, Zhi He, Jiemin Wu
doaj   +1 more source

Blind Deconvolution with Scale Ambiguity

open access: yesApplied Sciences, 2020
Recent years have witnessed significant advances in single image deblurring due to the increasing popularity of electronic imaging equipment. Most existing blind image deblurring algorithms focus on designing distinctive image priors for blur kernel ...
Wanshu Fan   +3 more
doaj   +1 more source

Gap‐Free Information Transfer in 4D‐STEM via Fusion of Complementary Scattering Channels

open access: yesAdvanced Science, EarlyView.
Fused Full‐Field STEM (FF‐STEM) is introduced as a 4D‐STEM imaging modality that combines direct ptychography with tilt‐corrected dark‐field reconstruction in a single acquisition. Fourier‐space fusion using Wiener‐type spectral weighting closes the low‐frequency contrast gap inherent to bright‐field methods, delivering gap‐free, dose‐efficient, near ...
Shengbo You   +15 more
wiley   +1 more source

A Combined Removal Approach for Multiscale Striping and Blurring in Wide-Field Infrared Remote Sensing Images

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Multiscale stripe noise and blur degradation in wide-field infrared remote sensing images are strongly coupled, posing significant challenges for image restoration.
Ting Nie   +5 more
doaj   +1 more source

Combining Motion Compensation with Spatiotemporal Constraint for Video Deblurring

open access: yesSensors, 2018
We propose a video deblurring method by combining motion compensation with spatiotemporal constraint for restoring blurry video caused by camera shake.
Jing Li, Weiguo Gong, Weihong Li
doaj   +1 more source

Sparse Representation of a Blur Kernel for Blind Image Restoration

open access: yesCoRR, 2015
Blind image restoration is a non-convex problem which involves restoration of images from an unknown blur kernel. The factors affecting the performance of this restoration are how much prior information about an image and a blur kernel are provided and what algorithm is used to perform the restoration task. Prior information on images is often employed
Chia-Chen Lee, Wen-Liang Hwang
openaire   +3 more sources

Maximizing Nanoscale Disorder in Block Copolymers for Orientation‐Independent SERS Platform Toward Non‐Invasive Diagnostics

open access: yesAdvanced Science, EarlyView.
Maximizing Nanoscale Disorder in Block Copolymers for Orientation‐Independent SERS Platform toward Non‐Invasive Diagnostics is a nature‐inspired strategy that engineers controlled randomness within block copolymer lamellae to achieve optical isotropy without compromising nanoscale periodicity.
Jin Man Kim   +6 more
wiley   +1 more source

Locally linear approximation for Kernel methods : the Railway Kernel [PDF]

open access: yes, 2008
In this paper we present a new kernel, the Railway Kernel, that works properly for general (nonlinear) classification problems, with the interesting property that acts locally as a linear kernel.
González, Javier, Muñoz, Alberto
core   +1 more source

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