MSc (Mathematics and Computing) Programme:Digital Image Processing
Master
In Patiala
Description
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Type
Master
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Location
Patiala
Facilities
Location
Start date
Start date
Reviews
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.
MSc (Mathematics and Computing) Programme:Digital Image Processing