Digital Image Processing

Digital Image Processing notes 

Digital Image Processing


UNIT- I 

Digital image fundamentals and Image Transforms

  • Digital Image through scanner
  • Concept of gray levels
  • Gray level to binary image conversion
  • Sampling and quantization
  • Relationship between pixels
  • 2D FFT and its Properties
  • Walsh transform
  • Hadamard Transform
  • Discrete cosine Transform.
  • Haar transform.
  • Slant transform
  • SVD and Hoteling transform.

UNIT- II

Image enhancement in spatial domain and Frequency domain

  • Point processing.
  • Histogram processing
  • Spatial filtering
  • Enhancement in frequency domain
  • Image smoothing
  • Image sharpening, 
  • Image enhancement using Fuzzy logic.

UNIT- III 

Color image processing and Restoration: 

  • Pseudo color image processing
  • full color image processing
  • Image Restoration Degradation model
  • Algebraic approach to restoration
  • Inverse filtering
  • least mean square filters
  • Constrained Least Squares Restoration
  • Interactive Restoration.

UNIT- IV 

Segmentation and Thresholding: 

  • Image segmentation
  • Detection of discontinuities
  • Edge linking and boundary detection Thresholding.
  • Region oriented segmentation 
  • edge detection using Fuzzy logic. 

UNIT- V 

Image Compression Techniques

  • Image compression Redundancies and their removal methods
  • Fidelity criteria
  • Image compression models
  • Source encoder and decoder Error free compression
  • Lossy compression
  • Case study in Image watermarking


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