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# System prepended metadata

title: Syllabus

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# Syllabus
#### I	FUNDAMENTALS OF IMAGE PROCESSING
Introduction, Fundamental steps in image processing, Image sampling, Quantization, Resolution, Elements of image processing system, Applications of Digital image processing. Color fundamentals, Color image formats – RGB, HSV, Medical image file format-DICOM.
#### II	IMAGE ENHANCEMENT
Spatial domain methods: Point & Histogram processing, Fundamentals of Spatial filtering, Smoothing spatial filters, Sharpening spatial filters. 
Frequency domain methods: Basics of filtering in frequency domain, image smoothing, image sharpening, Selective filtering.
#### III	IMAGE RESTORATION AND RECONSTRUCTION
A model of the image degradation and Restoration process, Noise models, restoration in the presence of noise only-Spatial Filtering, Periodic Noise Reduction by frequency domain filtering, Linear, Position –Invariant Degradations, Estimating the degradation function, Inverse filtering, Minimum mean square error (Wiener) filtering, constrained least squares filtering.
#### IV	IMAGE FEATURE EXTRACTION
IMAGE SEGMENTATION 
Fundamentals, point, line, edge detection, thresholding, and region –based segmentation.
MORPHOLOGICAL IMAGE PROCESSING
Preliminaries, Erosion and dilation, opening and closing, basic morphological algorithms for boundary extraction, thinning.
#### V	IMAGE COMPRESSION
Introduction, Need for image compression, Redundancy in images, Classification of redundancy in images, image compression scheme, Classification of image compression schemes, Fundamentals of information theory, Run length coding, Shannon – Fano coding, Huffman coding, Arithmetic coding, Predictive coding, 	CO5
