Subject Details
Dept     : ECE
Sem      : 5
Regul    : 2019
Faculty : P.Uma Maheshwari
phone  : NIL
E-mail  : uma.p.ece@snsct.org
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Lecture Notes

UNIT 1:
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Digital image processing system
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Fundamental steps in digital image processing
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Basic concepts in sampling and quantization, Representing digital images
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Basic concepts in sampling and quantization, Representing digital images
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Image transforms- Properties of 2D DFT, DCT
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Image transforms- Properties of 2D DFT, DCT
UNIT 2:
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IMAGE ENCHANCEMENT AND IMAGE RESTORATION
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Smoothing linear filters, Sharpening spatial Filters
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Noise models- Inverse filtering
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Noise models- Inverse filtering
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Constrained least mean square filtering
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Geometric transformation
UNIT 3:
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Huffman Coding, Arithmetic coding
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Image segmentation : Detection of isolated points
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Region based segmentation- region growing
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Region based segmentation- region growing
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Run length coding
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Lossy compression – Transform coding
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Wavelet coding
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Line detection, Edge models, Basic edge detection
UNIT 4:
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MORPHOLOGICAL IMAGE PROCESSING-Basic Concepts
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Morphological reconstruction
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Hit Transformation
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Erosion process for binary and gray image with applications
UNIT 5:
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Image formation and processing
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Introduction to computer vision
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Photometric image formation
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Pyramids and Wavelets- Fourier Transforms
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Photometric image formation
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The digital camera: Point Operators
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The digital camera: Point Operators
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Applications of CV