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Subject Syllabus

AL603 (A) - Image and Video Processing

AIML · Semester 6

Course Modules

Learn topic-wise with Hyper AI and revise using mapped PYQs.

Introduction to computer Vision Numerical representation of images Image augmentation, enhancement, processing Color transforms Geometric transforms Feature recognition and extraction

Object detection Breaking image into parts Finding contours and edges of various objects in image Background subtraction for video

Tracking a single point over time Motion models to define object movement over time Analyze videos as sequences of individual image frames Methods to track a set of features over time Matching features from image frame to other Tracking a moving car using optical flow

Bayesian statistics to locate a robot in space Sensor measurements to safely navigate an environment Gaussian uncertainty Histogram filter for robot localization in python

Degradation model Noise models Estimation of degradation function by modeling Restoration using Weiner filters and Inverse filters