Image Denoising Courses and Certifications

Institut des Hautes Etudes Scientifiques (IHES)

The New Era of Image Denoising

Explore revolutionary image denoising techniques, their applications in inverse problems, and the concept of diverse solutions in image processing.

• YouTube
• 32 minutes
• On-Demand
• Free Video

Hausdorff Center for Mathematics

From Phase Separation in Heterogeneous Media to Learning Training Schemes for Image Denoising

Exploring variational approaches in phase separation and image denoising, focusing on heterogeneous media, geometric measure theory, and optimized training schemes for improved performance.

• YouTube
• 41 minutes
• On-Demand
• Free Video

Society for Industrial and Applied Mathematics

Denoising as a Building Block: Theory and Applications in Image Processing

Explore image denoising theory, its properties, and applications as building blocks for broader image processing tasks and inverse problem regularization.

• YouTube
• 59 minutes
• On-Demand
• Free Video

DigitalSreeni

Denoising MRI Images - Also CT & Microscopy Images

Learn effective techniques for denoising MRI, CT, and microscopy images using traditional methods like Gaussian smoothing, bilateral filtering, anisotropic diffusion, non-local means, and BM3D algorithms.

• YouTube
• 43 minutes
• On-Demand
• Free Video

Image Quality Evaluation of Deep Learning Image Reconstruction and Denoising in Clinical CT

Explore advanced techniques for assessing image quality in CT scans using deep learning, focusing on reconstruction and denoising methods for improved clinical outcomes.

• YouTube
• 28 minutes
• On-Demand
• Free Video

Deep Learning for CT Reconstruction – Image Denoising and Beyond

Explore advanced deep learning techniques for CT image reconstruction, focusing on denoising methods and innovative approaches to enhance medical imaging quality.

• YouTube
• 24 minutes
• On-Demand
• Free Video

Convolutional Neural Networks

Learn to build and apply Convolutional Neural Networks for image processing, including classification, object detection, and segmentation. Explore key architectures, transfer learning, and autoencoders for practical applications.

• Udacity
• 21 hours
• On-Demand
• Paid Course

Integrating Image Quality Models into Deep CT Denoising

Explore advanced techniques for enhancing CT image quality through deep learning, focusing on innovative denoising methods and integration of quality assessment models.

• YouTube
• 20 minutes
• On-Demand
• Free Video

Wavelet Analysis: Applications with Wolfram Language

1 rating at LinkedIn Learning

Learn about wavelet analysis applications in the Wolfram Language.

• LinkedIn Learning
• 52 minutes
• On-Demand
• Free Trial Available

PiXimperfect

Photoshop 2026 - 12 New Features, One Big Catch!

Explore 12 groundbreaking AI-powered features in Photoshop 2026, from Nano Banana to generative upscaling, plus learn about Adobe's new credit system and its impact on creative workflows.

• YouTube
• 21 minutes
• On-Demand
• Free Video

Can Diffusion Model Disentangle? A Theoretical Perspective

Explore a theoretical framework for understanding how diffusion models learn disentangled representations, with identifiability conditions, training dynamics analysis, and experimental validation across diverse tasks and modalities.

• YouTube
• 22 minutes
• On-Demand
• Free Video

Vladimir Chopine [GeekatPlay]

Misconceptions About AI Generated Art

Debunking common misconceptions about AI-generated art, exploring its creative potential, technical aspects, and ethical considerations for artists and enthusiasts.

• YouTube
• 50 minutes
• On-Demand
• Free Video

ChamferZone

Stable Diffusion - Master AI Art: Installation, Prompts, Txt2img-Img2img, Out-Inpaint and Resize Tutorial

Comprehensive tutorial on Stable Diffusion AI art generation, covering installation, prompts, text-to-image, image-to-image, outpainting, inpainting, and advanced techniques for creating diverse AI-generated artwork.

• YouTube
• 59 minutes
• On-Demand
• Free Video

DigitalSreeni

Denoising 3D Multi-Channel Scientific Images Using Noise2Void Deep Learning Approach

Learn to denoise 2D and 3D multichannel scientific images using Noise2Void deep learning, focusing on CZI files from ZEISS microscopes. Explore implementation, training, and practical applications for improved image quality.

• YouTube
• 22 minutes
• On-Demand
• Free Video

International Centre for Theoretical Sciences

Deep Decoder: Concise Image Representations from Untrained Networks - Lecture 2

Explores untrained neural networks as image models, focusing on the Deep Decoder for efficient compression and denoising. Discusses theoretical foundations and compares performance to other approaches.

• YouTube
• 39 minutes
• On-Demand
• Free Video