Get updates on Eligibility, Admission, Placements Fees Structure
Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
|---|---|---|
| English | Self Study | Video and Text Based |
Course Overview
The certificate course on Fundamentals Of Digital Image And Video Processing by Coursera teaches the basic tools and principles of video and image processing and the best way of applying them in solving problems of scientific and commercial interests. Today digital images are used everywhere, in artistic applications, Industrial and consumer applications, in Scientific (bio-medical, astronomical, etc) applications.
The Fundamentals Of Digital Image And Video Processing Course covers the fundamentals involved in video and image processing. It provides the mathematical framework required to analyze and describe videos and images as 2D and 3D signals in Spatio-temporal, Spatial and frequency domain. The programme teaches not just the image enhancement but also the fundamentals, the theory involved, compression, and recovery.
The course teaches uses of a wide range of tools like statistical techniques as well as the use of optimisation toolboxes. The key role that Sparsity plays in modern-day video and image processing is also thoroughly explained. Candidates who wish to pursue a career in image processing of any of the scientific fields of its application must take this course to advance themselves in pace with the changing technology and research.
The Highlights
- Flexible deadlines
- Self-paced
- Approx. 35 hours of online learning
- Certificate of completion
- Video content and reading material are available for download.
- Class videos are provided with English subtitles.
- Offered by Northwestern
Programme Offerings
- assignments
- Online Classes
- self paced course.
Courses and Certificate Fees
| Fees Informations | Certificate Availability | Certificate Providing Authority |
|---|---|---|
| INR 2480 | yes | Coursera |
Fundamentals of Digital Image and Video Processing Fees Structure
Type of Programme | Amount |
Full Course, No Certificate | Free |
Purchase Course (with certificate) | Rs. 2,480 |
Eligibility Criteria
Certification Qualifying Details
The certificate on Fundamentals of Digital Image and Video Processing awards a shareable certificate to all the candidates who complete the entire course and submit graded assignments and quizzes satisfactorily.
What you will learn
Candidates completing the Fundamentals of Digital Image and Video Processing programme on Coursera will develop an understanding of the following:
- Working knowledge of image processing and video processing from signals and systems using the fundamentals and theories learned in the course.
- Developing an understanding and application of motion estimation and color representation and processing for phase correlation and block matching etc.
- Applying the knowledge for image enhancement and image recovery in various scenarios and understanding what practice best suits in different situations.
- The best practices in the field used to face challenges in video and image compression and segmentation.
- Applying the knowledge of all the tools and experiences gained from the course as well as graded assignments and quizzes for utilizing it to their advantage in solving complex problems arising in the industry.
Who it is for
The Fundamentals of Digital Image and Video Processing Programme is an extremely relevant course suits, multi-discipline candidates.
The course can be of help to the following:
- For artists who use video and image processing to enhance, recover, transform and compress videos and image files almost every day.
- Medical Professionals in the field of video and image processing representing the inside of the body for better analyzing and determining any health complications and the need for medical interventions if need be.
- Candidates working in the field of space and astronomy who utilise the signal and systems to process video and image files of a large quantum.
- Industrial or consumer professionals who are learning to better their skills of image processing for commercial applications.
Admission Details
To take admission in this Fundamentals of Digital Image and Video Processing programme, Candidates can follow these simple steps to register:
Step 1: Visit the course information page on Coursera and click ‘Enrol’
Step 2: Register for an account with Coursera with an email id or a Google / Facebook account. If you are an existing account holder you can just simply log in.
Step 3: Choose how to take the course. To buy the paid-up course with a certificate, enrol and pay the course fee. Candidates can also get to audit the course for free. However, the ‘free audit’ mode does not provide certification.
Step 4: You can also choose a free 7-day trial of Coursera plus, this is a paid version of Coursera. The trial is a great way to experience the benefits before buying.
Step 5: The candidates who buy the course will next be taken to pay the course fee. Choose from any of the payment modes available.
Step 6: After the fee payment / enrolling for the free audit course, candidates will get access to the lectures and relevant material.
Step 7: Candidates can download video lectures and course material to watch later. The deadlines can also be reset and they are flexible.
The Syllabus
Videos
- Analog v.s. Digital Signals
- Image and Video Signals
- Electromagnetic Spectrum
Readings
- Welcome Class!
- Grading Policy
- Further Reading
- About Us
- Download the slides
Assignment
- Homework 1
Videos
- 2D and 3D Discrete Signals
- Complex Exponential Signals
- Linear Shift-Invariant Systems
- 2D Convolution
- Filtering in the Spatial Domain
Readings
- MATLAB
- Use of MATLAB for Programming Assignments
- In This Module...
- Download the slides
Assignment
- Homework 2
Videos
- 2D Fourier Transform
- Sampling
- Discrete Fourier Transform
- Filtering in the Frequency Domain
- Change of Sampling Rate
Readings
- In this Module...
- Download the slides
Assignment
- Homework 3
Videos
- Applications of Motion Estimation
- Phase Correlation
- Block Matching
- Spatio-Temporal Gradient Methods
- Fundamentals of Color Image Processing
Readings
- In This Module...
- Download the slides
Assignment
- Homework 4
Videos
- Introduction
- Point-wise Intensity Transformations
- Histogram Processing
- Linear Noise Smoothing
- Non-linear Noise Smoothing
- Sharpening
- Homomorphic Filtering
- Pseudo Coloring
- Video Enhancement
Readings
- In This Module...
- Download the slides
Assignment
- Homework 5
Videos
- Examples of Image and Video Recovery
- Image Restoration
- Matrix-Vector Notation for Images
- Inverse Filtering
- Constrained Least Squares
- Set-Theoretic Restoration Approaches
- Iterative Restoration Algorithms
- Iterative Least-Squares and Constrained Least-Squares
- Spatially Adaptive Algorithms
Readings
- In This Module...
- Download the Slides
Assignment
- Homework 6
Videos
- Wiener Restoration Filter
- Wiener v.s. Constrained Least-Squares Restoration Filter
- Wiener Noise Smoothing Filter
- Maximum Likelihood and Maximum A Posteriori Estimation
- Bayesian Restoration Algorithms
- Other Restoration Application
- Wiener v.s. Constrained Least-Squares Restoration Filter
- Wiener Noise Smoothing Filter
- Maximum Likelihood and Maximum A Posteriori Estimation
- Bayesian Restoration Algorithms
- Other Restoration Applications
Readings
- In This Module...
- Download the Slides
Assignment
- Homework 7
Videos
- Introduction
- Elements of Information Theory - Part I
- Elements of Information Theory - Part II
- Huffman Coding
- Run-Length Coding and Fax
- Arithmetic Coding
- Dictionary Techniques
- Predictive Coding
Readings
- In This Module...
- Download the Slides
Assignment
- Homework 8
Videos
- Scalar Quantization
- Vector Quantization
- Differential Pulse-Code Modulation
- Fractal Image Compression
- Transform Coding
- JPEG
- Subband Image Compression
Assignment
- Homework 9
Readings
- In This Module...
- Download the Slides
Videos
- Motion-Compensated Hybrid Video Encoding
- On Video Compression Standards
- H.261, H.263, MPEG-1 and MPEG-2
- MPEG-4
- H.264
- H.265
Readings
- In This Module...
- Download the Slides
Assignment
- Homework 10
Videos
- Methods Based on Intensity Discontinuity
- Methods Based on Intensity Similarity
- Watersheds and K-Means Algorithms
- Advanced Methods
Readings
- In This Module...
- Download the Slides
Assignment
- Homework 11
Videos
- Introduction
- Sparsity-Promoting Norms
- Matching Pursuit
- Smooth Reformulations
- Applications
Readings
- In This Module...
- Download the Slides
Assignment
- Homework 12