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 (IITM) |
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
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 (IITM) Frequently Asked Questions (FAQ's)
Prior knowledge of Digital Signal Processing is required. Familiarity with linear algebra and probability theory is also beneficial.
Industries including technology (Google, Amazon, Facebook), healthcare, manufacturing, and automotive can benefit from expertise in digital image processing.
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.
The course employs a combination of lectures, practical exercises, and discussions. You will also have opportunities for hands-on projects to reinforce your learning.
While some familiarity with Digital Signal Processing is required, beginners with a keen interest in image processing can still benefit from this course.