CSC-466
BS
Digital Image Processing
(DE) Domain Elective
Theory: 3 Cr. Hrs
Total: 3 Cr. Hrs
Objectives: The course introduces digital image processing. It mainly focuses on theoretical foundations and underlying algorithms for wide range of tasks including image formation, enhancement, segmentation and representation.
Contents: Mathematics of images and imaging, analog verses digital imaging, representation of two-dimensional data, time and frequency domain representations, filtering and enhancement, the Fourier transform, convolution, interpolation, color images, Image Compression, Multi-resolution image analysis, Morphological Image Processing, Image Segmentation, Representation and Description, and Object Recognition.
In Programmes
BS
BS (Computer Science)
Electives Pool —
Elective ·
Data Science (Fall 2026 onwards)
Taught By