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

πŸ‘¨β€πŸŽ“ Profiles

Scopus

Orcid

Google Scholar

Publications

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

  • Authors: AyΓ§a Ceylan, Evrim Korkmaz Γ–zay, 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. YΔ±ldΔ±zcan, M. E. ArΔ±, Burcu Tunga, N. As, T. DΓΌndar
  • 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

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

Orcid

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.

πŸ’Ό 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.

πŸ”¬ 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

Dr. Yue Cao | Image Processing | Best Researcher Award

Dr. Yue Cao | Image Processing | Best Researcher Award

Doctorate at Harbin Institute of Technology, China

Profile

Google Scholar

πŸ“‹ Summary

Yue Cao is a Ph.D. candidate at Harbin Institute of Technology, specializing in computational imaging. His work focuses on noise modeling and image enhancement in extreme low-light conditions, making significant strides in sensor technology and image processing.

Education

  • Ph.D., Computer Application Technology (Sep. 2020 – Present), Harbin Institute of Technology
  • M.S., Computer Software and Theory (Sep. 2017 – Aug. 2020), Shaanxi Normal University
  • B.S., Software Engineering (Sep. 2010 – Aug. 2014), Inner Mongolia University

πŸ’Ό Internship Experience

  • Industry-Academia-Research Project Intern
    OPPO Research Institute, Shenzhen
    Feb. 2023 – Feb. 2024 (estimated)
    Engaged in noise modeling and parameter calibration of mobile phone sensors, as well as joint denoising, demosaicking, and super-resolution tasks in extremely low-light conditions related to smartphone sensor technology.

πŸ† Selected Awards

  • 2020: Winner Award, NTIRE Real Image Denoising Challenge – rawRGB Track
  • 2020: 3rd Place Award, NTIRE Real Image Denoising Challenge – sRGB Track
  • 2014: Outstanding Graduate of Inner Mongolia Autonomous Region, P.R. China
  • 2012: Excellent Three Merit Student Award of Inner Mongolia Autonomous Region, P.R. China

πŸ”¬ Research Interests

Dr. Yue’s research interests include noise modeling, image denoising, demosaicking, super-resolution, and sensor technology, with a particular focus on improving imaging performance in challenging environments.

Publications

Physics-guided iso-dependent sensor noise modeling for extreme low-light photography

  • Authors: Yue Cao, Ming Liu, Shuai Liu, Xiaotao Wang, Lei Lei, Wangmeng Zuo
  • Year: 2023

Incorporating Semi-Supervised and Positive-Unlabeled Learning for Boosting Full Reference Image Quality Assessment

  • Authors: Yue Cao, Zhaolin Wan, Dongwei Ren, Zifei Yan, Wangmeng Zuo
  • Year: 2022

Pseudo-ISP: Learning Pseudo In-camera Signal Processing Pipeline from A Color Image Denoiser

  • Authors: Yue Cao, Xiaohe Wu, Shuran Qi, Xiao Liu, Zhongqin Wu, Wangmeng Zuo
  • Year: 2021

Unpaired learning of deep image denoising

  • Authors: Xiaohe Wu, Ming Liu, Yue Cao, Dongwei Ren, Wangmeng Zuo
  • Year: 2020

Ntire 2020 challenge on real image denoising: Dataset, methods and results

  • Authors: Abdelrahman Abdelhamed, Mahmoud Afifi, Radu Timofte, Michael S Brown
  • Year: 2020