Interested in this College?
Get updates on Eligibility, Admission, Placements Fees Structure

Quick Facts

Medium Of Instructions	Mode Of Learning	Mode Of Delivery
English	Self Study, Virtual Classroom	Video and Text Based

Course Overview

The Image Signal Processing certification course delves into both basic and advanced concepts in image processing. Participants will explore topics such as image formation, geometric transformations, unitary image transforms, and advanced techniques like image restoration and 3D shape recovery. This course equips learners with valuable skills sought after by leading companies worldwide.

With a focus on real-world applications, including those in Google and Amazon, learners gain practical insights into the field's nuances and challenges. With the Image Signal Processing certification by NPTEL, students develop a solid foundation in digital image processing, preparing them for diverse career opportunities in industries at the forefront of technological innovation.

The Highlights

Online Course
12 Weeks Duration
Offered by IIT Madras

Programme Offerings

Certificate of completion
Practical Learning
Hands-on Experience

Courses and Certificate Fees

Certificate Availability	Certificate Providing Authority
yes	IIT Madras

The Image Signal Processing certification fees is free. However, if you want a certificate, you must register and take the proctored exam at designated centres, which is optional and comes with a fee of Rs 1000.

Image Signal Processing Certification Fee Structure

Particulars	Total Fees
Image Signal Processing (exam)	Rs 1000/-

Eligibility Criteria

Academic Qualifications

You need to have a background in Digital Signal Processing for the Image Signal Processing certification course, and it is helpful if you are familiar with linear algebra and probability theory.

What you will learn

After completing the Image Signal Processing certification syllabus, you will gain insights into both foundational principles and cutting-edge techniques. You will also delve into the intricacies of geometric transformations and learn to compute homographies.

Upon completion of the Image Signal Processing training, you will explore unitary image transforms, including the 2D Discrete Fourier Transform and the 2D Discrete Cosine Transform. You will also explore advanced topics such as image enhancement and restoration techniques.

Who it is for

Software DeveloperRobotics EngineerData ScientistRemote Sensing TechnicianResearch Scientist

The Image Signal Processing online course is suitable for anyone interested in digital image processing, including students, professionals, and enthusiasts. This course is particularly beneficial for:

Admission Details

Follow these steps to join the Image Signal Processing classes:

Step 1: Browse the URL below:

https://swayam.gov.in/NPTEL

Step 2: Click on the “Sign-in/ Register” button

Step 3: Log in using a Google account-enabled email address

Step 4: Select your preferred course. Review the course details and fill out the required fields

Step 5: Click on the "Join" button

The Syllabus

Introduction to Image Processing
Basics of Imaging
Geometric Transformations

Hierarchy of Transformations
Rotational Representation
Homography Computation

Research Challenges Involving Camera Motion
Basics of Real Aperture Camera
Lens as LSI System

Blur Kernels
Shape from X
Shape from Focus

Shape from Focus
Generalized Shape from Focus
Depth from Defocus (DFD) and Motion Blur

Unitary Image Transforms
From 1D to 2D Unitary Transforms
Higher Dimensional Unitary Transforms

2D Unitary Transforms
2D Discrete Fourier Transform
2D Discrete Cosine Transform

Karhunen-Loeve Transform (KLT)
Applications of KLT
Singular Value Decomposition

Image Enhancement
Adaptive Thresholding
K-Means Clustering
ISODATA Clustering

Contrast Stretching
Noise Filtering
Non-local Mean Filtering
Impulse Noise Filtering
Noise Filtering in Transform Domain
Illumination Compensation

Image Restoration
Ill-posed Problems
Matrix Conditioning
Matrix Numerical Stability
Inverse filter for Image Deblurring
Regularization Theory

Minimum Mean Square Error (MMSE) Estimator
Linear MMSE
Spatial Wiener Filter
Wiener filter in Fourier domain
Image Super-resolution
Super-resolution Examples

Evaluation process

The Image Signal Processing certification offers an optional exam. Your final score is determined by averaging the best 8 out of 12 assignments (25%) and your proctored exam score (75%).

IIT Madras Frequently Asked Questions (FAQ's)

1: What background knowledge do I need for the Image Signal Processing online course?

Prior knowledge of Digital Signal Processing is required. Familiarity with linear algebra and probability theory is also beneficial.

2: What industries can benefit from skills learned in the Image Signal Processing training?

Industries including technology (Google, Amazon, Facebook), healthcare, manufacturing, and automotive can benefit from expertise in digital image processing.

3: How will the Image Signal Processing certification benefit my career prospects?

This course equips you with practical skills in image enhancement, restoration, and geometric transformations, making you valuable in roles such as Image Processing Engineer, Computer Vision Engineer, and Software Developer.

4: What teaching methods are used in the Image Signal Processing online course?

The course employs a combination of lectures, practical exercises, and discussions. You will also have opportunities for hands-on projects to reinforce your learning.

5: Is this course suitable for beginners?

While some familiarity with Digital Signal Processing is required, beginners with a keen interest in image processing can still benefit from this course.