Denoising and Edge Detection Using OpenCV in Python
Learn OpenCV techniques for denoising microscope images and performing edge detection, with practical code examples for enhancing image quality without losing crucial information.
Reading Images, Splitting Channels, Resizing Using OpenCV in Python
Learn essential OpenCV operations for image processing: reading, resizing, and channel manipulation. Gain practical skills for computer vision and microscopy image analysis.
Histogram Based Image Segmentation in Python
Learn histogram-based image segmentation in Python for microscopy, covering thresholding techniques, feature extraction, and basic image processing operations to clean segmented regions.
Denoising Microscope Images in Python
Learn techniques for denoising microscope images using Python, exploring algorithms from Scikit-image and NumPy libraries to extract relevant information and improve image quality.
Scratch Assay Analysis With Just 5 Lines Code in Python
Learn to analyze scratch assays efficiently using Python, covering entropy filtering, Otsu thresholding, image processing, and result plotting in just 5 lines of code.
Image Processing Using Pillow in Python
Learn to manipulate images in Python using Pillow library. Covers resizing, cropping, rotating, flipping, and grayscale conversion with practical examples for multiple images.
Reading Images in Python
Learn various methods to read images in Python, including standard formats and specialized scientific images like CZI and OME-TIFF, using popular libraries and techniques for efficient image processing.
MIT: Image Domain Transfer - NVIDIA Guest Lecture
Explore image domain transfer techniques, from artistic style transfer to multimodal translations, with applications in photo smoothing, seasonal transformations, and game engines.
How Convolution Works
Guided tour of 2D convolution for CNNs and image processing, covering element-wise operations, feature detection, kernels, and practical applications.
How Convolutional Neural Networks Work, in Depth
Comprehensive exploration of convolutional neural networks, covering their structure, operation, and training process, including key concepts like filtering, pooling, and backpropagation.
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.
Denoising RGB Images Using Deep Learning - Noise2Void
Learn to denoise RGB images using Noise2Void deep learning technique, focusing on implementation, data preparation, and model training for improved image quality without clean data.
An Introduction to Object Segmentation Using StarDist Library in Python
Learn object segmentation using StarDist in Python for star-convex shapes in 2D and 3D. Covers installation, implementation, and HD image segmentation with practical examples.
Processing Whole Slide Images as Tiles
Efficient processing of whole slide images using OpenSlide, including H&E normalization and signal separation. Demonstrates tile extraction, processing, and saving for large-scale histopathology analysis.
Single Image Super Resolution Using SRGAN
Explore single image super-resolution using SRGAN, covering key concepts, perceptual loss, content loss, and network architectures for enhanced image quality.
Unpaired Image to Image Translation Using CycleGAN - An Introduction
Introduction to CycleGAN for unpaired image-to-image translation, covering key concepts, architecture, and training process. Explores discriminator and generator components, focusing on PatchGAN and instance normalization.
Image to Image Translation Using Pix2Pix GAN
Learn image-to-image translation using Pix2Pix GAN, exploring key concepts, generator and discriminator architectures, and practical applications in satellite imagery and scientific image generation.
Compositing Tips in Photoshop
Learn advanced Photoshop compositing techniques from expert Jesus Ramirez. Topics include background removal, rim lighting, image harmonization, color adjustments, hair refinement, and blending for realistic results.
Live Portrait Tutorial - Animating Images with AI-Controlled Expressions and Emotions
Master the art of animating still images with realistic facial expressions using Live Portrait's free AI technology and Python-based implementation.
Enhancing Old Videos to Full HD Using AI Tools - Video Restoration Tutorial
Discover how to transform old, low-quality videos into full HD using AI-powered video enhancement tools, Python libraries, and GPU processing for superior resolution and clarity.
Operating System
Comprehensive exploration of operating system concepts, covering processes, scheduling, synchronization, memory management, disk operations, and file systems.