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Journal of Imaging, Volume 9, Issue 6

June 2023 - 19 articles

Cover Story: Similar to classical watermarking techniques for multimedia content, DNN watermarking should satisfy high robustness against attacks such as fine-tuning, pruning neurons, and overwriting. In this study, we extended the method, encoded by a constant weight code, such that the model can be applied to any convolution layer of the DNN model, and designed a watermark detector based on a statistical analysis of the extracted weight parameters to evaluate whether the model is watermarked. The figure displays the statistical distribution of weight parameters in three typical CNN models trained using the ImageNet dataset. According to the characteristics of these distributions, some parameters for embedding a watermark can be determined to consider the trade-off among robustness, transparency, and capacity. View this paper
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Articles (19)

  • Article
  • Open Access
1,985 Views
12 Pages

Multivisceral transplant (MVTx) refers to a composite graft from a cadaveric donor, which often includes the liver, the pancreaticoduodenal complex, and small intestine transplanted en bloc. It remains rare and is performed in specialist centres. Pos...

  • Article
  • Open Access
6 Citations
2,714 Views
21 Pages

The Posidonia oceanica meadows represent a fundamental biological indicator for the assessment of the marine ecosystem’s state of health. They also play an essential role in the conservation of coastal morphology. The composition, extent, and s...

  • Article
  • Open Access
1 Citations
2,228 Views
11 Pages

Terahertz Constant Velocity Flying Spot for 3D Tomographic Imaging

  • Abderezak Aouali,
  • Stéphane Chevalier,
  • Alain Sommier and
  • Christophe Pradere

This work reports on a terahertz tomography technique using constant velocity flying spot scanning as illumination. This technique is essentially based on the combination of a hyperspectral thermoconverter and an infrared camera used as a sensor, a s...

  • Article
  • Open Access
4 Citations
3,330 Views
17 Pages

Lithium Metal Battery Quality Control via Transformer–CNN Segmentation

  • Jerome Quenum,
  • Iryna V. Zenyuk and
  • Daniela Ushizima

Lithium metal battery (LMB) has the potential to be the next-generation battery system because of its high theoretical energy density. However, defects known as dendrites are formed by heterogeneous lithium (Li) plating, which hinders the development...

  • Article
  • Open Access
11 Citations
3,130 Views
12 Pages

A Convolutional Neural Network-Based Connectivity Enhancement Approach for Autism Spectrum Disorder Detection

  • Fatima Zahra Benabdallah,
  • Ahmed Drissi El Maliani,
  • Dounia Lotfi and
  • Mohammed El Hassouni

Autism spectrum disorder (ASD) represents an ongoing obstacle facing many researchers to achieving early diagnosis with high accuracy. To advance developments in ASD detection, the corroboration of findings presented in the existing body of autism-ba...

  • Article
  • Open Access
10 Citations
2,560 Views
11 Pages

Gender, Smoking History, and Age Prediction from Laryngeal Images

  • Tianxiao Zhang,
  • Andrés M. Bur,
  • Shannon Kraft,
  • Hannah Kavookjian,
  • Bryan Renslo,
  • Xiangyu Chen,
  • Bo Luo and
  • Guanghui Wang

Flexible laryngoscopy is commonly performed by otolaryngologists to detect laryngeal diseases and to recognize potentially malignant lesions. Recently, researchers have introduced machine learning techniques to facilitate automated diagnosis using la...

  • Article
  • Open Access
3 Citations
2,666 Views
14 Pages

Transformative Effect of COVID-19 Pandemic on Magnetic Resonance Imaging Services in One Tertiary Cardiovascular Center

  • Tatiana A. Shelkovnikova,
  • Aleksandra S. Maksimova,
  • Nadezhda I. Ryumshina,
  • Olga V. Mochula,
  • Valery K. Vaizov,
  • Wladimir Y. Ussov and
  • Nina D. Anfinogenova

The aim of study was to investigate the transformative effect of the COVID-19 pandemic on magnetic resonance imaging (MRI) services in one tertiary cardiovascular center. The retrospective observational cohort study analyzed data of MRI studies (n =...

  • Article
  • Open Access
9 Citations
3,820 Views
34 Pages

A Siamese Transformer Network for Zero-Shot Ancient Coin Classification

  • Zhongliang Guo,
  • Ognjen Arandjelović,
  • David Reid,
  • Yaxiong Lei and
  • Jochen Büttner

Ancient numismatics, the study of ancient coins, has in recent years become an attractive domain for the application of computer vision and machine learning. Though rich in research problems, the predominant focus in this area to date has been on the...

  • Article
  • Open Access
1 Citations
2,407 Views
21 Pages

Manipulating Pixels in Computer Graphics by Converting Raster Elements to Vector Shapes as a Function of Hue

  • Tajana Koren Ivančević,
  • Nikolina Stanić Loknar,
  • Maja Rudolf and
  • Diana Bratić

This paper proposes a method for changing pixel shape by converting a CMYK raster image (pixel) to an HSB vector image, replacing the square cells of the CMYK pixels with different vector shapes. The replacement of a pixel by the selected vector shap...

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J. Imaging - ISSN 2313-433X