Journal of Electronic Imaging

Editor-in-Chief: Karen Egiazarian, Tampere University, Finland

The Journal of Electronic Imaging, copublished by IS&T and SPIE, publishes papers in all technology areas that make up the field of electronic imaging and are normally considered in the design, engineering, and applications of electronic imaging systems.

On the cover: The figure is from the paper "Inverse synthetic aperture radar imaging based on time–frequency analysis through neural network" by Hang Chen et al., from Vol. 29, Issue 1.

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Special Section on Quality Control by Artificial Vision VI

Guest Editors: Olivier Aubreton, Kunihito Kato, Christophe Cudel, and Kazunori Umeda

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Gradient-driven unsupervised video segmentation using deep learning techniques

Sankaranarayanan Piramanayagam, Eli Saber, and Nathan D. Cahill

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Effective deep ensemble hashing for open-set palmprint recognition

Huikai Shao, Dexing Zhong, and Xuefeng Du

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Special Section on Quality Control by Artificial Vision VI

Gradient-driven unsupervised video segmentation using deep learning techniques

Effective deep ensemble hashing for open-set palmprint recognition

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Structured robust correlation filter with L_2,1 norm for object tracking

Zernike moment invariants for hand vein pattern description from raw biometric data

Spatiotemporal information deep fusion network with frame attention mechanism for video action recognition

Perceptually motivated algorithm for grouping objects in complex scenes

Learning-based risk assessment and motion estimation by vision for unmanned aerial vehicle landing in an unvisited area

No-reference remote sensing image quality assessment based on gradient-weighted natural scene statistics in spatial domain

Translation domain segmentation model based on improved cosine similarity for crowd motion segmentation

Image descriptor based on local color directional quaternionic pattern

Encoder–decoder with double spatial pyramid for semantic segmentation

Correlation filter-based visual tracking via holistic and reliable local parts

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