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Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
|---|---|---|
| English | Self Study | Video and Text Based |
Course Overview
Learn how digital images and videos are produced, altered, processed, and used from the Image and Video Processing: From Mars to Hollywood with a Stop at the Hospital programme offered by the Duke University. From how computers and digital cameras shape pictures to the use of special effects in Hollywood movies to how the Mars Rover has been able to send photos through millions of miles of space, candidates will be introduced to the vast world of digital imaging.
The Image and Video Processing: From Mars to Hollywood with a Stop at the Hospital programme begins by looking at how the human visual system functions and then shows you how digital images work in mathematics, engineering and computer science. Candidates will learn the basic algorithms used for image adjustment and explore the standards of JPEG and MPEG for video image encoding and compression. They will learn about image segmentation, filtering and noise reduction. Finally, the programme will finish with methods of image processing used in the medical field.
The Highlights
- Approximately 20 hours to complete
- 100 percent online mode of learning
- Flexible deadlines
- Shareable certificate after completion
Programme Offerings
- online learning
- Quiz
- Exercises
- assignments
Courses and Certificate Fees
| Fees Informations | Certificate Availability | Certificate Providing Authority |
|---|---|---|
| INR 2480 | yes | Coursera |
Image and Video Processing: From Mars to Hollywood with a Stop at the Hospital Fees Details:
Fees components | Amount |
Course fee | Rs. 2,480 |
Eligibility Criteria
Certification Qualifying Details
For the certification of Image and Video Processing: From Mars to Hollywood with a Stop at the Hospital programme, candidates should purchase the programme. Along with that candidates should complete the whole 9-week training successfully. Candidates who opt for the free version of the programme aren’t eligible to get the certificate.
What you will learn
After completing the Image and Video Processing: From Mars to Hollywood with a Stop at the Hospital programme candidates will:
- Gain skills like; image processing, image compressing, image restoring and image segmentation.
- Learn about basic algorithms and exploring the standards of MPEG or JPEG
- Master subjective knowledge along with practical expertise.
Who it is for
Application Details
To apply for the Image and Video Processing: From Mars to Hollywood with a Stop at the Hospital programme.
Step 1: Visit the course page. https://www.coursera.org/learn/image-processing
Step 2: Click the “Enrol for free” button.
Step 3: New Coursera users need to sign up with their Google, FB or Apple account. If candidates are already having a Coursera account, please log in.
Step 4: There will be two options showing. One is to purchase the course by paying the fee. Second is to take the course without paying. That option will not give a certificate of completion.
Step 5: Pay the showing fee for purchasing the course. After that registration will be done successfully.
The Syllabus
Videos
- Welcome and Start Here
- What is image and video processing (part 1)
- What is image and video processing (part 2)
- Course logistics
- Images are everywhere
- Human visual system
- Image formation - Sampling & Quantization
- Simple image operations
Reading
- Optional programming exercises
Quiz
- Quiz #1
Videos
- The why and how of compression
- Huffman coding
- JPEG's 8x8 blocks
- The Discrete Cosine Transform (DCT)
- Quantization
- JPEG_LS and MPEG
- Bonus: Run-length compression
Reading
- Optional programming exercises
Quiz
- Quiz #2
Videos
- Introduction to image enhancement
- Demo - Enhancement & Histogram modification
- Histogram equalization
- Histogram matching
- Introduction to local neighborhood operations
- Mathematical properties of averaging
- Non-Local means
- IPOL Demo - Non-Local means
- Median filter
- Demo - Median filter
- Derivatives, Laplacian & Unsharp masking
- Demo - Unsharp masking
- Gradients of scalar and vector images
- Concluding remarks
Reading
- Optional programming exercises
Quiz
- Quiz #3
Videos
- What is image restoration
- Noise types
- Demo - Types of noise
- Noise and histograms
- Estimating noise
- Degradation Function
- Wiener filtering
- Demo - Wiener and Box filters
- Concluding remarks
Reading
- Optional programming exercises
Quiz
- Quiz #4
Videos
- Introduction to Segmentation
- On Edges and Regions
- Hough Transform with Matlab Demo
- Line Segment Detector with Demo
- Otsu's Segmentation with Demo
- Congratulations
- Interactive Image Segmentation
- Graph Cuts and Ms Office
- Mumford-Shah
- Active Contours - Introduction with ipol.im and Photoshop Demos
- Behind the Scenes of Adobe's Roto Brush
- End of the Week
Reading
- Optional programming exercises
Quiz
- Quiz #5
Videos
- Introduction to PDEs in Image and Video Processing
- Planar Differential Geometry
- Surface Differential Geometry
- Curve Evolution
- Level Sets and Curve Evolution
- Calculus of Variations
- Anisotropic Diffusion
- Active Contours
- Bonus: Cool Contrast Enhancement via PDEs
Reading
- Optional programming exercises
Quiz
- Quiz #6
Videos
- Introduction to Image Inpainting
- Inpainting in Nature
- PDEs and Inpainting
- Inpainting via Calculus of Variations
- Smart Cut and Paste
- Demo - Photoshop Inpainting Healing Brush
- Video Inpainting and Conclusions
Reading
- Optional programming exercises
Quiz
- Quiz #7
Videos
- Introduction to Sparse Modeling - Part 1
- Introduction to Sparse Modeling - Part 2
- Sparse Modeling - Implementation
- Dictionary Learning
- Sparse Modeling Image Processing Examples
- A Note on Compressed Sensing
- GMM and Structured Sparsity
- Bonus: Sparse Modeling and Classification - Activity Recognition
Reading
- Optional programming exercises
Quiz
- Quiz #8
Videos
- Introduction to Medical Imaging
- Image Processing and HIV (Part I)
- Image Processing and HIV (Part II)
- Brain Imaging, Diffusion Imaging, Deep Brain Stimulation
- Thanks!