Digital images, Origins and applications of digital image processing, Steps in image processing, Components of an image processing system 

Visual perception:Structure and characteristics of the human eye; Light and the electromagnetic spectrum, Image sensing and acquisition,  Image sampling and quantization, Basic pixel relationships,  Linear and non-linear operations.

Image enhancement in the Spatial domain

 Basic gray level transformations, Histogram processing, Arithmetic and Logic operations, Spatial filtering: Basics, Smoothing spatial filters, Sharpening spatial filters; Combining spatial enhancement methods.

Image enhancement in the Frequency Domain

2D DFT and its inverse, Filtering, Correspondence between filtering in spatial and frequency domains;  Smoothing frequency domain filters, Sharpening frequency domain filters, Homomorphic filtering, Implementation: Need for padding, Properties of the 2D Fourier Transform, 2D FFT 

Color Image Processing

Color Fundamentals, RGB and CMY/CMYK color models, Pseudo-color Image Processing, Basics of full Color Image Processing, Color transformations, Smoothing and Sharpening

Image Compression

Fundamentals, Image compression models, Information theory, error-free compression techniques, lossy compression techniques, compression standards

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