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EC-803 (B) · Digital Image Processing/Official Syllabus

Digital Image Processing (EC-803 (B)) - Official Syllabus

1
Unit 1

Digital Image Processing (DIP)

  • Introduction, examples of fields that use DIP, fundamental steps in DIP, components of an image processing system
  • Digital Image Fundamentals: elements of visual perception, image sensing and acquisition
  • image sampling and quantization, basic relationships between pixels
2
Unit 2

Image Transforms

  • Two-dimensional (2D) impulse and its shifting properties, 2D continuous Fourier Transform pair
  • 2D sampling and sampling theorem, 2D Discrete Fourier Transform (DFT), properties of 2D DFT
  • Other transforms and their properties: Cosine transform, Sine transform, Walsh transform, Hadamard transform, Haar transform, Slant transform, KL transform
3
Unit 3

Image Enhancement

  • Spatial domain methods: basic intensity transformation functions, fundamentals of spatial filtering
  • smoothing spatial filters (linear and non-linear)
  • sharpening spatial filters (unsharp masking and high boost filters), combined spatial enhancement method
  • Frequency domain methods: basics of filtering in frequency domain, image smoothing filters (Butterworth and Gaussian low pass filters), image sharpening filters (Butterworth and Gaussian high pass filters), selective filtering
4
Unit 4

Image Restoration

  • Image degradation/restoration, noise models, restoration by spatial filtering
  • noise reduction by frequency domain filtering
  • linear position invariant degradations, estimation of degradation function
  • inverse filtering, Wiener filtering
  • image reconstruction from projection
5
Unit 5

Image Compression

  • Fundamentals of data compression: basic compression methods: Huffman coding, Golomb coding, LZW coding, Run-Length coding, Symbol based coding
  • Digital image watermarking, representation and description- minimum perimeter polygons algorithm (MPP)

Reference Books

  • Digital Image Processing
  • Fundamentals of Digital Image Processing
  • Digital Image Processing and Computer Vision
  • Digital Image Processing and Analysis
  • Digital Image Processing
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