Image and Video Processing: From Mars to Hollywood with a Stop at the Hospital
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Approx. 21 hours to complete
Course Summary
Learn the fundamentals of image processing and its practical applications in this course. Explore topics such as image filtering, segmentation, and feature extraction.Key Learning Points
- Understand the basics of image processing and its applications
- Learn various techniques such as filtering, segmentation, and feature extraction
- Apply the learned techniques to real-life scenarios
Job Positions & Salaries of people who have taken this course might have
- USA: $80,000 - $120,000
- India: INR 5,00,000 - INR 10,00,000
- Spain: €30,000 - €50,000
- USA: $80,000 - $120,000
- India: INR 5,00,000 - INR 10,00,000
- Spain: €30,000 - €50,000
- USA: $100,000 - $150,000
- India: INR 8,00,000 - INR 15,00,000
- Spain: €40,000 - €70,000
- USA: $80,000 - $120,000
- India: INR 5,00,000 - INR 10,00,000
- Spain: €30,000 - €50,000
- USA: $100,000 - $150,000
- India: INR 8,00,000 - INR 15,00,000
- Spain: €40,000 - €70,000
- USA: $90,000 - $130,000
- India: INR 6,00,000 - INR 12,00,000
- Spain: €35,000 - €55,000
Related Topics for further study
Learning Outcomes
- Develop a strong foundation in image processing techniques
- Be able to apply image processing techniques to solve real-world problems
- Understand the principles of computer vision and machine learning
Prerequisites or good to have knowledge before taking this course
- Basic knowledge of linear algebra and calculus
- Familiarity with programming languages such as Python
Course Difficulty Level
IntermediateCourse Format
- Online self-paced
- Video lectures
- Hands-on projects
Similar Courses
- Computer Vision Basics
- Applied Machine Learning
- Digital Signal Processing
Related Education Paths
Related Books
Description
In this course, you will learn the science behind how digital images and video are made, altered, stored, and used. We will look at the vast world of digital imaging, from how computers and digital cameras form images to how digital special effects are used in Hollywood movies to how the Mars Rover was able to send photographs across millions of miles of space.
Outline
- Introduction to image and video processing
- 0 - Welcome and Start Here
- 1 - What is image and video processing (part 1)
- 1 - What is image and video processing (part 2)
- 2 - Course logistics
- 3 - Images are everywhere - Duration 06:31
- 4 - Human visual system - Duration 17:10
- 5 - Image formation - Sampling & Quantization - Duration 28:17
- 6 - Simple image operations - Duration 17:05
- Optional programming exercises
- Quiz #1
- Image and video compression
- 1 - The why and how of compression - Duration 14:16
- 2 - Huffman coding - Duration 20:11 - Optional break at 06:53
- 3 - JPEG's 8x8 blocks - Duration 05:37
- 4 - The Discrete Cosine Transform (DCT) - Duration 25:32 - Optional break at 12:13
- 5 - Quantization - Duration 24:02 - Optional breaks at 08:48 and 17:18
- 6 - JPEG_LS and MPEG - Duration 19:32 - Optional break at 13:45
- 7 - Bonus: Run-length compression - Duration 04:29
- Optional programming exercises
- Quiz #2
- Spatial processing
- 1 - Introduction to image enhancement - Duration 19:11 - Optional break at 08:33
- 2 - Demo - Enhancement & Histogram modification - Duration 03:53
- 3 - Histogram equalization - Duration 19:56 - Optional breaks at 04:40 and 11:30
- 4 - Histogram matching - Duration 08:31
- 5 - Introduction to local neighborhood operations - Duration 06:46
- 6 - Mathematical properties of averaging - Duration 11:00
- 7 - Non-Local means - Duration 07:27
- 8 - IPOL Demo - Non-Local means - Duration 03:38
- 9 - Median filter - Duration 07:20
- 10 - Demo - Median filter - Duration 01:31
- 11 - Derivatives, Laplacian & Unsharp masking - Duration 14:24 - Optional breaks at 05:21 and 11:33
- 12 - Demo - Unsharp masking - Duration 03:10
- 13 - Gradients of scalar and vector images - Duration 05:57
- 14 - Concluding remarks - Duration 01:12
- Optional programming exercises
- Quiz #3
- Image restoration
- 1 - What is image restoration - Duration 07:49
- 2 - Noise types - Duration 12:43
- 3 - Demo - Types of noise - Duration 03:03
- 4 - Noise and histograms - Duration 04:52
- 5 - Estimating noise - Duration 10:41 - Optional break at 05:03
- 6 - Degradation Function - Duration 11:40
- 7 - Wiener filtering - Duration 12:34 - Optional break at 06:54
- 8 - Demo - Wiener and Box filters - Duration 03:19
- 9 - Concluding remarks - Duration 00:33
- Optional programming exercises
- Quiz #4
- Image segmentation
- 1 - Introduction to Segmentation - Duration 04:17
- 2 - On Edges and Regions - Duration 05:17
- 3 - Hough Transform with Matlab Demo - Duration 20:59
- 4 - Line Segment Detector with Demo - Duration 03:20
- 5 - Otsu's Segmentation with Demo - Duration 14:25
- 6 - Congratulations - Duration 00:17
- 7 - Interactive Image Segmentation - Duration 21:13
- 8 - Graph Cuts and Ms Office - Duration 09:34
- 9 - Mumford-Shah - Duration 05:50
- 10 - Active Contours - Introduction with ipol.im and Photoshop Demos - Duration 05:58
- 11 - Behind the Scenes of Adobe's Roto Brush - Duration 31:29 - Optional breaks at 20:30 and 27:26
- 12 - End of the Week - Duration 00:21
- Optional programming exercises
- Quiz #5
- Geometric PDEs
- 1 - Introduction to PDEs in Image and Video Processing - Duration 10:22
- 2 - Planar Differential Geometry - Duration 38:33 - Optional breaks at 12:46, 21:03, and 29:41
- 3 - Surface Differential Geometry - Duration 11:43
- 4 - Curve Evolution - Duration 31:10 - Optional breaks at 08:50, 19:25, and 24:22
- 5 - Level Sets and Curve Evolution - Duration 25:34 - Optional break at 14:30
- 6 - Calculus of Variations - Duration 14:03 - Optional break at 06:23
- 7 - Anisotropic Diffusion - Duration 11:17
- 8 - Active Contours - Duration 16:57 - Optional break at 06:23
- 9 - Bonus: Cool Contrast Enhancement via PDEs - Duration 08:32
- Optional programming exercises
- Quiz #6
- Image and video inpainting
- 1 - Introduction to Image Inpainting - Duration 08:16
- 2 - Inpainting in Nature - Duration 05:01
- 3 - PDEs and Inpainting - Duration 21:59 - Optional break at 13:31
- 4 - Inpainting via Calculus of Variations - Duration 15:32 - Optional break at 10:06
- 5 - Smart Cut and Paste - Duration 07:51
- 6 - Demo - Photoshop Inpainting Healing Brush - Duration 02:31
- 7 - Video Inpainting and Conclusions - Duration 05:13
- Optional programming exercises
- Quiz #7
- Sparse modeling and compressed sensing
- 1 - Introduction to Sparse Modeling - Part 1 - Duration 10:39
- 2 - Introduction to Sparse Modeling - Part 2 - Duration 18:16
- 3 - Sparse Modeling - Implementation - Duration 24:30 - Optional break at 11:58
- 4 - Dictionary Learning - Duration 17:13 - Optional break at 06:03
- 5 - Sparse Modeling Image Processing Examples - Duration 20:57 - Optional break at 09:25
- 6 - A Note on Compressed Sensing - Duration 05:10
- 7 - GMM and Structured Sparsity - Duration 15:40
- 8 - Bonus: Sparse Modeling and Classification - Activity Recognition - Duration 15:10
- Optional programming exercises
- Quiz #8
- Medical imaging
- 1 - Introduction to Medical Imaging - Duration 07:03
- 2 - Image Processing and HIV (Part I) - Duration 23:51 - Optional breaks at 12:37 and 18:39
- 2 - Image Processing and HIV (Part II) - Duration 16:30
- 3 - Brain Imaging, Diffusion Imaging, Deep Brain Stimulation - Duration 26:28
- 4 - Thanks!
Summary of User Reviews
The Image Processing course on Coursera is highly recommended by many users. They praise the course for its comprehensive and practical approach to teaching image processing. One key aspect that many users thought was good was the hands-on experience that the course provides through the use of real-world examples and projects.Pros from User Reviews
- Comprehensive course material
- Practical approach to teaching
- Hands-on experience through real-world examples and projects
- Excellent instructor support
- Great community engagement
Cons from User Reviews
- Some users found the course to be too technical
- The course can be challenging for beginners
- The course requires a lot of time commitment
- Some users found the assignments to be too difficult
- The course is not suitable for those looking for a quick overview of image processing
Guillermo Sapiro
4.7 Raiting
Image and Video Processing: From Mars to Hollywood with a Stop at the Hospital
- 4.7
-
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In this course, you will learn the science behind how digital images and video are made, altered, stored, and used. Each module is independent, so you can follow your interests....
