Real-Time Image Processing and Deep Learning 2019
Latest Publications

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Published By SPIE

9781510626577, 9781510626584

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Front Matter: Volume 10996

Real-Time Image Processing and Deep Learning 2019 ◽

10.1117/12.2537990 ◽

2019 ◽

Keyword(s):

Matter Volume

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Learning optimal actions with imperfect images

Real-Time Image Processing and Deep Learning 2019 ◽

10.1117/12.2518921 ◽

2019 ◽

Author(s):

Song Jun Park ◽

Dale Shires

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An efficient algorithm for fast block matching motion estimation using an adaptive threshold scheme

Real-Time Image Processing and Deep Learning 2019 ◽

10.1117/12.2505732 ◽

2019 ◽

Author(s):

Djoudi Kerfa ◽

Abdelkader Saidane

Keyword(s):

Motion Estimation ◽

Efficient Algorithm ◽

Adaptive Threshold ◽

Block Matching ◽

Threshold Scheme

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Integrated photonic FFTs for convolutional neural networks and real-time processing (Conference Presentation)

Real-Time Image Processing and Deep Learning 2019 ◽

10.1117/12.2518764 ◽

2019 ◽

Author(s):

Jonathan George ◽

Volker J. Sorger

Keyword(s):

Neural Networks ◽

Real Time ◽

Convolutional Neural Networks ◽

Real Time Processing ◽

Time Processing

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Mobile detection of crop diseases for agricultural yield management

Real-Time Image Processing and Deep Learning 2019 ◽

10.1117/12.2518898 ◽

2019 ◽

Author(s):

Priti Maheshwary ◽

Mukul V. Shirvaikar ◽

Timothy Malche ◽

Rakesh Kumar

Keyword(s):

Yield Management ◽

Crop Diseases ◽

Agricultural Yield

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Fast multi-modal reuse: co-occurrence pre-trained deep learning models

Real-Time Image Processing and Deep Learning 2019 ◽

10.1117/12.2519546 ◽

2019 ◽

Author(s):

Vasanth Iyer ◽

Alex J. Aved ◽

Todd B. Howlett ◽

Jeffrey T. Carlo ◽

Asif Mehmood ◽

...

Keyword(s):

Deep Learning ◽

Learning Models

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Design of neuron-calculators for the normalized equivalence of two matrix arrays based on FPGA for self-learning equivalently convolutional neural networks (SLE_CNNs)

Real-Time Image Processing and Deep Learning 2019 ◽

10.1117/12.2518206 ◽

2019 ◽

Author(s):

Vladimir G. Krasilenko ◽

Alexander Lazarev ◽

Diana Nikitovich

Keyword(s):

Neural Networks ◽

Convolutional Neural Networks ◽

Matrix Arrays ◽

Self Learning

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Rock grains segmentation using curvilinear structures based features

Real-Time Image Processing and Deep Learning 2019 ◽

10.1117/12.2519580 ◽

2019 ◽

Cited By ~ 2

Author(s):

Sebastian Iwaszenko ◽

Karolina Nurzynska

Keyword(s):

Curvilinear Structures

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Parallel blind semi-fragil color image watermarking based on fast discrete cosine transform

Real-Time Image Processing and Deep Learning 2019 ◽

10.1117/12.2518477 ◽

2019 ◽

Author(s):

Alexis Jimenez-Calzadilla ◽

Volodymyr I. Ponomaryov ◽

Rogelio Reyes-Reyes ◽

Clara Cruz-Ramos

Keyword(s):

Discrete Cosine Transform ◽

Color Image ◽

Image Watermarking ◽

Color Image Watermarking ◽

Cosine Transform

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Detection of retinal abnormalities using smartphone-captured fundus images: a survey

Real-Time Image Processing and Deep Learning 2019 ◽

10.1117/12.2519094 ◽

2019 ◽

Author(s):

Mohamed Akil ◽

Yaroub Elloumi

Keyword(s):

Fundus Images

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Real-Time Image Processing and Deep Learning 2019Latest Publications

TOTAL DOCUMENTS

H-INDEX

Published By SPIE

Front Matter: Volume 10996

Learning optimal actions with imperfect images

An efficient algorithm for fast block matching motion estimation using an adaptive threshold scheme

Integrated photonic FFTs for convolutional neural networks and real-time processing (Conference Presentation)

Mobile detection of crop diseases for agricultural yield management

Fast multi-modal reuse: co-occurrence pre-trained deep learning models

Design of neuron-calculators for the normalized equivalence of two matrix arrays based on FPGA for self-learning equivalently convolutional neural networks (SLE_CNNs)

Rock grains segmentation using curvilinear structures based features

Parallel blind semi-fragil color image watermarking based on fast discrete cosine transform

Detection of retinal abnormalities using smartphone-captured fundus images: a survey

Real-Time Image Processing and Deep Learning 2019
Latest Publications