Assoc Prof Dr. Burcu Tunga | Image Processing | Best Researcher Award

Assoc Prof Dr. Burcu Tunga | Image Processing | Best Researcher Award

Burcu Tunga at Istanbul Technical University, Turkey

👨‍🎓 Profiles

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Publications

Contrast and Content Preserving HDMR-Based Color-to-Gray Conversion

  • Authors: Ayça Ceylan, Evrim Korkmaz Özay, Burcu Tunga
  • Journal: Computers & Graphics
  • Year: 2024

A Novel Image Denoising Technique with Caputo Type Space–Time Fractional Operators

  • Authors: Evren Tanriover, Ahmet Kiris, Burcu Tunga, M. Alper Tunga
  • Journal: Nonlinear Dynamics
  • Year: 2024

High Dimensional Model Representation Median Filter for Removing Salt and Pepper Noise

  • Authors: Sena Kacar, Burcu Tunga
  • Journal: Signal, Image and Video Processing
  • Year: 2024

Machine Learning Based Tomographic Image Reconstruction Technique to Detect Hollows in Wood

  • Authors: E. N. Yıldızcan, M. E. Arı, Burcu Tunga, N. As, T. Dündar
  • Journal: Wood Science and Technology
  • Year: 2024

DeepEMPR: Coffee Leaf Disease Detection with Deep Learning and Enhanced Multivariance Product Representation

  • Authors: A. Topal, Burcu Tunga, E. B. Tirkolaee
  • Journal: PeerJ Computer Science
  • Year: 2024

Mrs. Monisha Munivel | Image processing | Editorial Board Member

Mrs. Monisha Munivel | Image processing | Editorial Board Member

Monisha Munivel at Sri Sivasubramaniya Nadar College of Engineering, India

👨‍🎓 Profiles

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Publications

Performance of Binarization Algorithms on Tamizhi Inscription Images: An Analysis

  • Authors: Monisha Munivel, VS Felix Enigo
  • Journal: ACM Transactions on Asian and Low-Resource Language Information Processing
  • Year: 2024

MLIBT: A Multi-Level Improvised Binarization Technique for Tamizhi Inscriptions

  • Authors: Munivel Monisha, Enigo V S Felix
  • Journal: Expert Systems with Applications
  • Year: 2023

Optical character recognition for printed tamizhi documents using deep neural networks

  • Authors: Monisha Munivel, VS Enigo
  • Journal: DESIDOC Journal of Library & Information Technology
  • Year: 2022

An Enhanced Routing Approach on the Void Regions in Underwater Sensor Networks

  • Authors: V Venkatesa Kumar, M Monisha, M Newlin Rajkumar
  • Journal: International Journal of Advanced Trends in Engineering, Science and Technology
  • Year: 2016

Assoc Prof Dr. Peixian Zhuang | Image Processing | Best Researcher Award

Assoc Prof Dr. Peixian Zhuang | Image Processing | Best Researcher Award

Peixian Zhuang at University of Science and Technology Beijing, China

👨‍🎓 Profiles

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Publications

CVANet: Cascaded visual attention network for single image super-resolution

  • Authors: Weidong Zhang, Wenyi Zhao, Jia Li, Peixian Zhuang, Haihan Sun, Yibo Xu, Chongyi Li
  • Journal: Neural Networks
  • Year: 2024

Underwater image enhancement via piecewise color correction and dual prior optimized contrast enhancement

  • Authors: Weidong Zhang, Songlin Jin, Peixian Zhuang, Zheng Liang, Chongyi Li
  • Journal: IEEE Signal Processing Letters
  • Year: 2023

Non-uniform illumination underwater image restoration via illumination channel sparsity prior

  • Authors: Guojia Hou, Nan Li, Peixian Zhuang, Kunqian Li, Haihan Sun, Chongyi Li
  • Journal: IEEE Transactions on Circuits and Systems for Video Technology
  • Year: 2023

Gacnet: Generate adversarial-driven cross-aware network for hyperspectral wheat variety identification

  • Authors: Weidong Zhang, Zexu Li, Guohou Li, Peixian Zhuang, Guojia Hou, Qiang Zhang, Chongyi Li
  • Journal: IEEE Transactions on Geoscience and Remote Sensing
  • Year: 2023

Underwater image enhancement via minimal color loss and locally adaptive contrast enhancement

  • Authors: Weidong Zhang, Peixian Zhuang, Hai-Han Sun, Guohou Li, Sam Kwong, Chongyi Li
  • Journal: IEEE Transactions on Image Processing
  • Year: 2022

Mr. Jiatai Wang | Image Processing | Best Researcher Award

Mr. Jiatai Wang | Image Processing | Best Researcher Award

Jiatai Wang at Shandong University of Finance and Economics, China

Profile

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Summary:

Mr. Jiatai Wang is a postgraduate student specializing in edge computing and hyperspectral image analysis at Shandong University of Finance and Economics. With a strong academic background and a focus on developing advanced algorithms for image processing, Jiatai has published in both international conferences and SCI-indexed journals, earning recognition for innovative contributions in computer vision and data analytics.

Education

Mr. Jiatai Wang holds a Master’s degree in Computer Science and Technology, with a specialization in edge computing and hyperspectral image analysis.

💼 Professional Experience

As a Master’s graduate, Jiatai has conducted significant research in image processing, leading to the publication of one paper in an EI International Conference and another in an SCI-indexed journal. His work has been acknowledged through various academic awards.

🔬 Research Interests

Mr. Jiatai’s research interests include edge computing, hyperspectral image analysis, and the development of efficient algorithms for image processing. His work aims to enhance computer vision and data analytics capabilities.

 

Publication

Elastic Reweighted Sparsity Regularized Sparse Unmixing for Hyperspectral Image Analysis

  • Authors: Jiatai Wang, Qiuyue Zhang, Yunfeng Zhang
  • Journal: Digital Signal Processing
  • Year: 2024