B.E. Computer Science & Engineering:Digital Image Processing

Thapar University
In Patiala

Price on request
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Important information

Typology Bachelor
Start Patiala
Duration 4 Years
  • Bachelor
  • Patiala
  • Duration:
    4 Years
Description

Venues

Where and when

Starts Location
On request
Patiala
Thapar University P.O Box 32, 147004, Punjab, India
See map
Starts On request
Location
Patiala
Thapar University P.O Box 32, 147004, Punjab, India
See map

Course programme

First Year: Semester I

Mathematics I
Engineering graphics
Computer Programming
Physics
Solid Mechanics
Communication Skill

First Year: Semester-II

Mathematics II
Manufacturing Process
Chemistry
Electrical and Electronic Science
Thermodynamics
Organizational Behavior

Second Year- Semester - I

Measurement Science and Techniques
Optimization Techniques
Semiconductor Devices
Data Structures
Discrete Mathematical Structures
Digital Electronic Circuits
Human Values, Ethics and IPR

Second Year- Semester – II

Numerical and Statistical Methods
Electrical Engineering Materials
Computer System Architecture
Principles of Programming Languages
Analysis and Design of Information Systems
Operating Systems
Environmental Studies


Third Year- Semester – I

Object Oriented Programming
Theory of Computation
Computer Networks
Data Base Management Systems
Software Engineering
Microprocessors
Summer Training

Third Year- Semester – II

Total Quality Management
Algorithm Analysis and Design
Software Project Management
Internet and Web Technologies

Fourth Year- Semester – I

Engineering Economics
System Software
Compiler Construction
Computer Graphics
Artificial Intelligence

Fourth Year- Semester – II

Project Semester
Project
Industrial Training(6 weeks)


Digital Image Processing

Introduction: Digital Image Representation, Fundamental Steps in Image Processing, Elements of Digital Image Processing Systems,

Digital Image Fundamentals: Elements of Visual Perception, A Simple Image Model, Sampling and Quantization, Some Basic Relationships Between Pixels, Imaging Geometry, Photographic Film.

Image Transforms: Introduction to the Fourier Transform, The Discrete Fourier Transform, Some Properties of the two-dimensional Fourier Transform, The Fast Fourier Transform.

Image Enhancement: Background, Enhancement by Point Processing, Spatial filtering, enhancement in the Frequency Domain, Generation of Spatial Masks from Frequency Domain Specifications, Color Image Processing.

Image Restoration: Degradation Model, Diagonalization of Circulant and Block-Circulant Matrices, Algebraic Approach to Restoration, Inverse Filtering.

Image Compression: Fundamentals, Image Compression Models, Elements of Information Theory, Error-Free Compression, Lossy, Compression, Image Compression Standards.


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