Morteza
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On this channel, I share the projects and research I’ve worked on during my Master’s, PhD, and postdoctoral studies — along with industry experience at Meta and two internships at NVIDIA.
Topics include:
🎨 Color and imaging science
🧠 Deep learning & CNNs (and how to code them)
🖼️ Image processing & computer vision
🌈 Hyperspectral/multispectral imaging
📈 Spectral reflectance recovery
👁️ Human color perception
📷 Digital camera characterization
💻 MATLAB & Python coding explained simply
Whether you're a student, researcher, or enthusiast, this channel makes advanced imaging and machine learning topics accessible and practical.
💡 Need help with your project or looking for consulting?
You can find my email in the For business inquiries section below — I’d be happy to discuss how I can help.
Повышение резкости изображений в Python
Гиперспектральная классификация изображений с использованием глубокой сверточной нейронной сети в...
How to write your own custom loss function in PyTorch
Foveated Rendering in Hyperspectral Imaging
Hyperspectral Image Registration Without OpenCV: Alternatives
Image Denoising Using Deep Image Prior
Hyperspectral Imaging Explained: Simulation + Real-World Calibration
How Face Detection Works in OpenCV (Haar vs DNN Code Demo)
JPEG vs HEIC Compression
Basics of HDR imaging - How to Create HDR Images with Your Phone: A Step-by-Step Tutorial
Different Types of Hyperspectral Cameras (Simple Summary)
Anaconda Python for Machine Learning: A Beginner's Guide
The Best Way to Push Your Code and Files to GitHub (Step-by-Step Guide)
Deep Dive into Hyperspectral Image Processing Techniques Using Python
How to Build a Digital Colorimeter on Windows Using Python
How to measure spectral similarity in MATLAB?
Hyperspectral Image Classification Using a 2D CNN (A Step-by-Step Tutorial)
Basics of Video Analysis in Python
How to solve the time out error in overleaf using python (a step-by-step guide)?
How to Handle EnMAP Images of Hyperspectral Data in Python?
A Basic Image Classification Using CNN in PyTorch
Estimating Signal-to-Noise Ratio (SNR) in Hyperspectral Imaging
Use of Non-Negative Matrix Factorization (NNMF) in Spectral Unmixing
Spectral reflectance reconstruction from RGB camera response using linear interpolation technique
Principal Component Analysis (PCA) Using Singular Value Decomposition (SVD) in Python
Understanding Color Spaces and Their Importance in Imaging (with Illustrations)
Predicting Camera Color Quality
Unsupervised Learning and Its Applications in Hyperspectral Imaging
How to Write Your Own Custom Loss Function in TensorFlow
Best Way to Classify Hyperspectral Images in Python