Question

Lecture notes on digital image processing

Answer 1

Digital image processing is the use of computer algorithms to perform image processing on digital images. As a subcategory or field of digital signal processing, digital image processing has many advantages over analog image processing. It allows a much wider range of algorithms to be applied to the input data and can avoid problems such as the build-up of noise and signal distortion during processing. Since images are defined over two dimensions (perhaps more) digital image processing may be modeled in the form of multidimensional systems.
Digital image processing allows the use of much more complex algorithms, and hence, can offer both more sophisticated performance at simple tasks, and the implementation of methods which would be impossible by analog means.

In particular, digital image processing is the only practical technology for:

Classification
Feature extraction
Multi-scale signal analysis
Pattern recognition
Projection
Some techniques which are used in digital image processing include:

Anisotropic diffusion
Hidden Markov models
Image editing
Image restoration
Independent component analysis
Linear filtering
Neural networks
Partial differential equations
Pixelation
Principal components analysis
Self-organizing maps
Wavelets