Month 1: Foundations of Digital Image Processing
Introduction to Digital Image Processing
00:00
Image Representation and Enhancement Techniques
00:00
Spatial and Frequency Domain Filtering
00:00
Image Restoration and Noise Reduction
00:00
Month 2: Image Feature Extraction and Analysis
Feature Detection and Description
00:00
Image Transformations (Hough Transform, Fourier Transform)
00:00
Image Registration and Alignment
00:00
Morphological Operations and Shape Analysis
00:00
Texture Analysis and Classification
00:00
Month 3: Image and Video Compression
Basics of Image and Video Compression
00:00
Lossless and Lossy Compression Techniques
00:00
Transform Coding (Discrete Cosine Transform)
00:00
Wavelet-based Compression
00:00
Standards and Codecs (JPEG, MPEG)
00:00
Month 4: Object Detection and Recognition
Introduction to Object Detection and Recognition
00:00
Feature-based Approaches (SIFT, SURF)
00:00
Deep Learning-based Object Detection (YOLO, Faster R-CNN)
00:00
Face Detection and Recognition
00:00
Gesture and Action Recognition
00:00
Month 5: Image-Based Machine Learning
Introduction to Machine Learning for Computer Vision
00:00
Supervised and Unsupervised Learning Algorithms
00:00
Dimensionality Reduction and Feature Selection
00:00
Deep Learning for Image Classification
00:00
Transfer Learning and Fine-tuning
00:00
Month 6: Advanced Topics in Computer Vision
3D Vision and Depth Estimation
00:00
Image-based Localization and Structure from Motion
00:00
Image and Video Segmentation
00:00
Tracking and Visual Object Tracking
00:00
Advanced Applications of Computer Vision (Medical Imaging, Autonomous Vehicles)
00:00