8EC4. 1 IMAGE PROCESSING AND PATTERN RECOGNITION

UNIT 1: INTRODUCTION:

Imaging in ultraviolet and visible  band. Fundamental steps in image

processing. Components in image processing. Image perception in eye, light and electromagnetic

spectrum, Image sensing and acquisition using sensor array.

UNIT 2: DIGITAL IMAGE FUNDAMENTALS:

Image sampling and quantization, Representing digital

images, Spatial and gray-level resolution, Aliasing and Moiré patterns, Zooming and Shrinking digital

images.

UNIT 3: IMAGE RESTORATION:

Image restoration model, Noise Models, Spatial and frequency

properties of noise, noise probability density functions, Noise - only spatial filter, Mean filter Statistic filter

and adaptive filter, Frequency domain filters - Band reject filter, Band pass filter and Notch filter.

UNIT 4: IMAGE COMPRESSION:

Compression Fundamentals - Coding Redundancy, Interpixel

redundancy, Psycho visual redundancy and Fidelity criteria. Image Compression models, Source encoder

and decoder, Channel encoder and decoder, Lossy compression and compression  standards.

color space formats, scaling methodologies (like horizontal, vertical up/down scaling). Display format

(VGA, NTSC, PAL).

UNIT 5: EXPERT SYSTEM AND PATTERN RECOGNITION:

Use of computers in problem solving,

information representation, searching, theorem proving, and pattern matching with substitution. Methods

for knowledge representation, searching, spatial, temporal and common sense reasoning, and logic and

probabilistic inferencing. Applications in expert systems and robotics