Image Filtering Courses and Certifications

Image Filtering in Computer Vision - Part II - Lecture 5

Explore image filtering through mean, weighted mean, Gaussian smoothing, box and median filters, Sobel filters, noise, and padded edges.

• YouTube
• 1 hour 10 minutes
• Self-Paced
• Free Video

Image Filtering, Convolution, and Edge Detection

Explore image derivatives, Gaussian filtering, sharpening, and classical edge detectors including Prewitt, Marr-Hildreth, and Canny.

• YouTube
• 1 hour 11 minutes
• Self-Paced
• Free Video

MathWorks

Image Segmentation, Filtering, and Region Analysis

58 ratings at Coursera

Use spatial filters to remove noise and artifacts, segment images with edge detection and clustering, and measure region size, orientation, and location in MATLAB.

• Coursera
• 4 weeks, 2 hours a week
• Self-Paced
• Paid Course

Filtering in Computer Vision - Lecture 2

Explore image filtering techniques, from Gaussian smoothing and noise reduction to derivatives, convolution, and edge detection.

• YouTube
• 1 hour 13 minutes
• Self-Paced
• Free Video

The Julia Programming Language;  MIT

Convolutions in Image Processing - MIT 18.S191 Fall 2020 - Week 1

Explains image convolution through blurring, sharpening, Sobel edge detection, Julia implementations, and Fourier-transform acceleration.

• YouTube
• 36 minutes
• Self-Paced
• Free Video

Traitement d'images : introduction au filtrage

Découvrez les bases du filtrage d’images en Python : convolution, rehaussement, réduction du bruit et détection de contours.

• Coursera
• 5 weeks, 3 hours a week
• Self-Paced
• Paid Course

Introduction to Computer Vision

45 ratings at Coursera

Compute image features, apply 1D and 2D filters, and work with camera models and epipolar geometry by hand and in Excel using grayscale and RGB matrices.

• Coursera
• 4 weeks, 4 hours a week
• Self-Paced
• Paid Course

Image Processing and Analysis for Life Scientists

6 ratings at edX

Basic image analysis for life scientists with a non-engineering background. The main goal is to teach how to address and solve scientific questions by state of the art image analysis strategies.

• edX
• 7 weeks, 2-3 hours a week
• Self-Paced
• Free Online Course (Audit)

Kevin Stratvert

How to Remove and Replace Photo Backgrounds in Canva - Step-by-Step Tutorial

Master the art of removing image backgrounds in Canva with step-by-step guidance on uploading, editing, adding new backgrounds, adjusting dimensions, applying filters, and exporting your finished designs.

• YouTube
• 10 minutes
• Self-Paced
• Free Video

Reducible

How PNG Works - Compromising Speed for Quality

Explore how PNG uses lossless compression and adaptive filtering, and why the simpler QOI format can achieve comparable compression at much higher speed.

• YouTube
• 32 minutes
• Self-Paced
• Free Video

DigitalSreeni

Introduction to Image Processing Using Scikit-Image in Python

1 rating

Use Python's scikit-image library to resize, filter, deconvolve, and threshold microscopy images for scratch-assay analysis.

• YouTube
• 37 minutes
• Self-Paced
• Free Video

javidx9

Bits of Image Processing You Should Know

1 rating

A programmer-focused introduction to eight image-processing algorithms, demonstrated interactively with webcam video and 2D pixel data.

• YouTube
• 37 minutes
• Self-Paced
• Free Video

Computer Vision - Fall 2023

Explore computer vision fundamentals from linear algebra to neural networks, covering image filtering, edge detection, CNNs, PyTorch, features, classification, and segmentation techniques.

• YouTube
• 1 day 15 hours 29 minutes
• Self-Paced
• Free Video

Computer Vision - Fall 2022

Dive into computer vision fundamentals, from image filtering and edge detection to neural networks, CNNs, object detection, and segmentation using practical PyTorch implementations.

• YouTube
• 20 hours 53 minutes
• Self-Paced
• Free Video

Computer Vision - Fall 2021

Explore computer vision fundamentals from linear algebra to neural networks, covering image filtering, edge detection, CNNs, PyTorch, object detection, and segmentation techniques.

• YouTube
• 1 day 4 hours 49 minutes
• Self-Paced
• Free Video