Results 21 to 30 of about 24,571,413 (390)
Model Watermarking for Image Processing Networks [PDF]
AAAI Conference on Artificial Intelligence, 2020 Deep learning has achieved tremendous success in numerous industrial applications. As training a good model often needs massive high-quality data and computation resources, the learned models often have significant business values.
Jie Zhang +7 more
semanticscholar +1 more source
scikit-image: image processing in Python [PDF]
PeerJ, 2014 scikit-image is an image processing library that implements algorithms and utilities for use in research, education and industry applications. It is released under the liberal "Modified BSD" open source license, provides a well-documented API in the Python programming language, and is developed by an active, international team of collaborators. In this
van der Walt, Stefan +8 more
openaire +6 more sources
Algorithm Unrolling: Interpretable, Efficient Deep Learning for Signal and Image Processing [PDF]
IEEE Signal Processing Magazine, 2019 Deep neural networks provide unprecedented performance gains in many real-world problems in signal and image processing. Despite these gains, the future development and practical deployment of deep networks are hindered by their black-box nature, i.e., a
V. Monga, Yuelong Li, Yonina C. Eldar
semanticscholar +1 more source
UNSUPERVISED CONVOLUTIONAL NEURAL NETWORKS FOR MOTION ESTIMATION [PDF]
, 2016 We gratefully acknowledge the support of NVIDIA Corporation with the donation of the Tesla K40 GPU used for this research.We gratefully acknowledge the support of NVIDIA Corporation with the donation of the Tesla K40 GPU used for this research.We ...
AHMADI, A +2 more
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Bone Age Assessment Based on Rank-Monotonicity Enhanced Ranking CNN
IEEE Access, 2019 Skeletal bone age assessment based on hand x-ray is widely used in many fields. There is an urgent need for automated method to alleviate manual labor and address the problem of intra- and inter-observer variability.
Bo Liu +4 more
doaj +1 more source
A Large Imaging Database and Novel Deep Neural Architecture for Covid-19 Diagnosis [PDF]
, 2022 Deep learning methodologies constitute nowadays the main approach for medical image analysis and disease prediction. Large annotated databases are necessary for developing these methodologies; such databases are difficult to obtain and to make publicly ...
IEEE 14th Image, Video, and Multidimensional Signal Processing Workshop (IVMSP) +1 more
core
A DEFINITION OF VISUAL INTERPRETATION CRITERIAS TO MAPPING LAND-USE AND LAND-COVER IN THE BRAZILIAN BIOMES [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020 The present work aims to establish of Visual Interpretation Criterias of the land-use and land-cover (LULC) classes of the Brazilian biomes. The process relies on the efforts of experts from each biome, Ph.D.
E. B. Silva +6 more
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Depth coding using depth discontinuity prediction and in-loop boundary reconstruction filtering [PDF]
, 2014 This paper presents a depth coding strategy that employs K-means clustering to segment the sequence of depth images into K clusters. The resulting clusters are losslessly compressed and transmitted as supplemental enhancement information to aid the ...
2014 IEEE Visual Communications and Image Processing Conference +2 more
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Multifocal image processing [PDF]
, 2014 In this paper, we present a processing method for digital images from an optical microscope. High-pass type filters are generally used for image focusing. They enhance the high spatial frequencies. These filters are not appropriate if the lack of
Druckmüllerová, H., Martišek, D.
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Microscopy and Microanalysis, 2016 Consistently rated as the best overall introduction to computer-based image processing, The Image Processing Handbook covers two-dimensional (2D) and three-dimensional (3D) imaging techniques, image printing and storage methods, image processing ...
Lou Ross
semanticscholar +1 more source