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Shearlet Features for Pedestrian Detection
Journal of Mathematical Imaging and Vision, 2018A long-time, hand-crafted features governed by a directional image analysis have been the base for the best performing pedestrian detection algorithms. In the past few years, approaches using convolutional neural networks have taken over the leadership concerning detection quality.
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2018 26th European Signal Processing Conference (EUSIPCO), 2018
In video coding, in-loop filtering has attracted attention due to its increasing coding performances. In this paper the shearlet-based loop filter is proposed using a sparsifying transform, the shearlet transform, which can identify the important structures of natural images such as edges in the sparse transform domain.
Thomas Wiegand+4 more
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In video coding, in-loop filtering has attracted attention due to its increasing coding performances. In this paper the shearlet-based loop filter is proposed using a sparsifying transform, the shearlet transform, which can identify the important structures of natural images such as edges in the sparse transform domain.
Thomas Wiegand+4 more
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A non-subsampled Shearlet transform based approach for heartbeat sound watermarking
Biomedical Signal Processing and Control, 2022Med Sayah Moad+2 more
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Robust JPEG steganography based on DCT and SVD in nonsubsampled shearlet transform domain
Multimedia tools and applications, 2022Xiaofeng Song+3 more
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Shearlets and pseudo-differential operators
Collectanea Mathematica, 2016Shearlets on the cone are a multi-scale and multi-directional discrete system that have near-optimal representation of the so-called cartoon-like functions. They form Parseval frames, have better geometrical sensitivity than traditional wavelets and an implementable framework.
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Multimodal medical volumetric image fusion using 3-D Shearlet transform and T-S fuzzy reasoning
Multimedia tools and applications, 2022Xiaoqing Luo+6 more
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