Results 291 to 300 of about 66,688 (323)
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QoE-Guided Warping for Stereoscopic Image Retargeting

IEEE Transactions on Image Processing, 2017
In the field of stereoscopic 3D (S3D) display, it is an interesting as well as meaningful issue to retarget the stereoscopic images to the target resolution, while the existing stereoscopic image retargeting methods do not fully take user's Quality of Experience (QoE) into account.
Feng Shao   +4 more
openaire   +2 more sources

Spatial forecast verification: image warping

2010
PREFACE : In response to a growing need for more informative forecast verification in the face of gridded verification sets, many new methods have been proposed. While widely varying in their approaches, the new methods generally fall into two major categories of filter and displacement, each of which can be further subdivided.
Gilleland, Eric   +10 more
openaire   +1 more source

Sketch-Based Image Warping Interface

2013
Image warping is becoming increasingly ubiquitous with the rapid increment of photo editing needs by common users. However, current image warping interface remains hard to master due to the complex interactive operations. This paper proposes an intuitive sketch-based image warping interface.
Jiazhi Xia, Zhi-Quan Cheng
openaire   +1 more source

Conformal image warping

IEEE Computer Graphics and Applications, 1990
C. Frederick, E.L. Schwartz
openaire   +1 more source

Detail-preserving image warping by enforcing smooth image sampling

Neural Networks
Multi-phase dynamic contrast-enhanced magnetic resonance imaging image registration makes a substantial contribution to medical image analysis. However, existing methods (e.g., VoxelMorph, CycleMorph) often encounter the problem of image information misalignment in deformable registration tasks, posing challenges to the practical application.
Qingrui Sha   +6 more
openaire   +2 more sources

Automated molecular-image cytometry and analysis in modern oncology

Nature Reviews Materials, 2020
Ralph Weissleder, Hakho Lee
exaly  

nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation

Nature Methods, 2020
Fabian Isensee   +2 more
exaly  

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