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QoE-Guided Warping for Stereoscopic Image Retargeting
IEEE Transactions on Image Processing, 2017In 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
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Spatial forecast verification: image warping
2010PREFACE : 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
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Sketch-Based Image Warping Interface
2013Image 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
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Detail-preserving image warping by enforcing smooth image sampling
Neural NetworksMulti-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
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Molecular imaging and disease theranostics with renal-clearable optical agents
Nature Reviews Materials, 2021Kanyi Pu
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Automated molecular-image cytometry and analysis in modern oncology
Nature Reviews Materials, 2020Ralph Weissleder, Hakho Lee
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nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation
Nature Methods, 2020Fabian Isensee +2 more
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