MSc (Mathematics and Computing) Programme:Digital Image Processing

Thapar University
In Patiala

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Important information

Typology Master
Start Patiala
  • Master
  • Patiala

Important information

Where and when

Starts Location
On request
Thapar University P.O Box 32, 147004, Punjab, India
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Starts On request
Thapar University P.O Box 32, 147004, Punjab, India
See map

Course programme

Introduction and Digital Image Fundamentals: Digital Image Representation, Fundamental steps in Image Processing, Elements of Digital image processing systems, Sampling and quantization, neighbors of a pixel, adjacency, connectivity, Regions and Boundaries, Distance measures, Image operations on a pixels basis, Linear and Non linear operations
Image Enhancement in the Spatial domain: Gray level transforms, Histogram Processing, Enhancement using Arithmetic/Logic Operations, smoothing and sharpening filters

Image Enhancement in the Frequency domain: 1-D and 2-D Fourier Transform and their Inverse, Filtering, Smoothing and sharpening domain filters, Homomorphic Filtering

Image Restoration: Degradation Model, Noise models, Restoration in the presence of Noise only spatial filtering, Periodic Noise reduction by frequency domain filtering, Estimating the degradation function

Color Image Processing: Color models, Pseudocolor Image Processing, Color Transforms, Smoothing and sharpening, Color Segmentation, Noise in color images, Color Image compression

Image Compression: Fundamentals, Compression Models, Error free Comparison, Lossy Compression, wavelets in Image compression, Image compression standards.

Morphological Image Processing: Dilation and Erosion, Basic Morphological algorithms, Extension to gray scale images.

Image Segmentation: Detection of discontinuities, Edge linking and boundary detection, Thresholding, Region oriented Segmentation, Motion based Segmentation.

Representation and Description: Representation schemes, Boundary description, Regional descriptors, Morphology.

Object Recognition: Patterns and Pattern classes, Decision Theoretic Methods, Structural methods.

Laboratory work: The lab work will be based on operations on images. The programs will be based on image enhancement, image zooming, image cropping, image restoration, image compression, image segmentation and applications.

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