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Dat Ngo 👋 🐤 🐶

📧 [email protected]
💻 https://datngo93.github.io/datngo
☎️ +82-43-841-5347

Research Interest

  • Digital image processing
  • Machine learning/Deep learning
  • Biodata and bioimage analysis
  • Brain-computer interface
  • FPGA prototyping
  • Embedded system design

Others

🔭 I am currently working on blind image restoration, digital pathology image processing, and wet-AMD recurrence prediction
🌱 I am currently practicing Korean
👯 I am looking to collaborate on projects related to topics mentioned above
⚡ I love eating 🍗 and drinking 🍺 while watching documentaries.

Dat Ngo's Projects

enhanced_equidistribution icon enhanced_equidistribution

This is a MATLAB source code of the enhanced equidistribution, which guarantees that the generated random sequence follows the theoretical uniform distribution.

fpga-cam icon fpga-cam

Automatically exported from code.google.com/p/fpga-cam

haziness-degree-evaluator icon haziness-degree-evaluator

This is the MATLAB implementation of the haziness degree evaluator for predicting the haze density from a single image. The relevant work was published in the MDPI Sensors journal under the title "Haziness degree evaluator: a knowledge-driven approach for haze density estimation".

hrwfe icon hrwfe

This source code is a MATLAB implementation of a haze removal algorithm that can deal with the post-dehazing false enlargement of white objects effectively. The work was published in MDPI Sensors journal under the title "Single-Image Visibility Restoration: A Machine Learning Approach and Its 4K-Capable Hardware Accelerator".

icap icon icap

This is a MATLAB source code of the paper "Improved Color Attenuation Prior for Single-Image Haze Removal", published in Applied Sciences-Basel (MDPI).

mifdh icon mifdh

This is the MATLAB source code of a haze removal algorithm, which dehazes a hazy input image using simple image enhancement techniques, such as detail enhancement, gamma correction, and single-scale image fusion.

nonlinear-unsharp-masking icon nonlinear-unsharp-masking

This source code is a MATLAB implementation of a nonlinear unsharp masking method, published in the proceeding of ICEIC 2020, Barcelona, Spain. The algorithm was implemented by means of generalized operators, therein lies the underlying cause of its robustness against out-of-range issue.

otm-aal icon otm-aal

This is the MATLAB source code of a haze removal algorithm published in Remote Sensing (MDPI) under the title "Robust Single-Image Haze Removal Using Optimal Transmission Map and Adaptive Atmospheric Light". The transmission map was estimated by maximizing an objective function quantifying image contrast and sharpness. Additionally, an adaptive atmospheric light was devised to prevent the loss of dark details after removing haze.

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