Image Representation and Processing from Pluralsight

Explore Image Representation and Processing to learn transforming images for AI and computer vision tasks efficiently.

In the digital age, the ability to manipulate and understand images is not just a skill but a necessity, especially in fields like computer vision and generative AI. This course is designed to demystify the complexities of digital images, teaching you the foundational skills needed to prepare and utilize images effectively in various technological applications.

In this course, Image Representation and Processing, you'll learn to master the art and science of transforming digital images into actionable data. First, you'll explore the concept of image representations, uncovering how images are digitally constructed and perceived. This knowledge lays the groundwork for understanding how images are processed and manipulated. Next, you'll discover the intricacies of color spaces and image transformations, learning how to manipulate these elements to achieve desired outcomes in image analysis and modification.

Finally, you’ll learn how to build an image classifier, a fundamental skill in computer vision, which will enable you to categorize and interpret images automatically. When you’re finished with this course, you’ll have the skills and knowledge of image representation and processing needed to effectively prepare images for computer vision and generative AI models. On top of that, you'll be equipped to tackle real-world problems, from automating image categorization to enhancing image data for advanced AI applications, paving the way for innovative solutions in various industries.

What's inside

Syllabus

Course Overview

Mastering Image Fundamentals

From Pixels to Projects: Building Vision with Code

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Provides a solid foundation in image representation and processing for those seeking to enter the fields of computer vision and generative AI

Taught by Pratheerth Padman, an experienced instructor in computer vision and image processing

Covers the essential concepts of image representation, color spaces, and image transformations, providing a comprehensive understanding of image data

Includes practical hands-on exercises and projects, allowing learners to apply their knowledge and build real-world skills

Suitable for beginners seeking to establish a strong foundation in image representation and processing

May require additional resources for learners with no prior experience in computer science or programming

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Image Representation and Processing with these activities:

Review 'Digital Image Processing' by Gonzalez and Woods

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Introduce yourself to key concepts and terminology in the field of digital images, preparing you for in-depth exploration of image representation and processing.

View Digital Image Processing, Global Edition on Amazon

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Read Chapter 1: Introduction
Review Chapter 2: Digital Image Fundamentals
Summarize the key concepts in your own words

Practice Image Transformation Exercises

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Solidify your grasp of image transformation techniques through targeted practice exercises.

Browse courses on Image Transformations

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Find online resources or textbooks with image transformation exercises
Solve a variety of exercises covering transformations such as rotation, scaling, and flipping
Check your answers and identify areas for improvement

Explore OpenCV Tutorials on Image Manipulation

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Gain practical experience in image manipulation techniques, complementing the theoretical foundations established during the course.

Browse courses on Image Manipulation

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Visit the OpenCV website
Navigate to the Tutorials section
Select and complete tutorials relevant to image manipulation, such as resizing, cropping, and color space conversion

Four other activities

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Create an Infographic on Image Processing Concepts

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Enhance your understanding by visually representing key image processing concepts and techniques.

Browse courses on Image Processing

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Identify the core concepts and techniques you want to cover
Gather and organize relevant information and examples
Design and create the infographic using a tool like Canva or Visme

Build an Image Preprocessing Pipeline

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Apply your understanding of image representation and processing by designing and implementing a comprehensive pipeline for preprocessing images for computer vision tasks.

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Define the input and output image formats
Identify and incorporate necessary preprocessing techniques such as resizing, noise reduction, and color space conversion
Implement the pipeline using a programming language of your choice
Test and refine the pipeline on a dataset of images

Study 'Computer Vision' by Linda G. Shapiro

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Expand your knowledge of image processing applications in the field of computer vision, deepening your understanding of the course content.

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Read Chapter 3: Image Representation
Review Chapter 6: Object Detection
Summarize the key takeaways and relate them to the course material

Develop an Image Classification Model

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Challenge yourself by applying the concepts of image representation and processing to build a functional image classification model.

Browse courses on Image Classification

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Gather a dataset of labeled images
Choose and implement an appropriate machine learning algorithm
Train and evaluate the model
Refine the model and optimize its performance

Career center

Learners who complete Image Representation and Processing will develop knowledge and skills that may be useful to these careers:

Computer Vision Engineer

A Computer Vision Engineer designs, develops, and maintains computer vision systems used in a variety of applications such as self-driving cars, medical imaging, and industrial automation. This course, Image Representation and Processing, provides a foundation in the fundamentals of digital image representation and processing, which are essential skills for Computer Vision Engineers. The course covers topics such as image acquisition, image enhancement, feature extraction, and object recognition, all of which are critical to the development of computer vision systems.

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Machine Learning Engineer

Machine Learning Engineers develop and maintain machine learning models used in a variety of applications such as natural language processing, computer vision, and predictive analytics. This course, Image Representation and Processing, provides a foundation in the fundamentals of digital image representation and processing, which are essential skills for Machine Learning Engineers. The course covers topics such as image acquisition, image enhancement, feature extraction, and object recognition, all of which are critical to the development of machine learning models that can process and interpret images.

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Data Scientist

Data Scientists use data to solve business problems and make predictions. This course, Image Representation and Processing, provides a foundation in the fundamentals of digital image representation and processing, which are essential skills for Data Scientists who work with image data. The course covers topics such as image acquisition, image enhancement, feature extraction, and object recognition, all of which are critical to the analysis and interpretation of image data.

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Software Engineer

Software Engineers design, develop, and maintain software applications. This course, Image Representation and Processing, provides a foundation in the fundamentals of digital image representation and processing, which are essential skills for Software Engineers who work on applications that process or display images. The course covers topics such as image acquisition, image enhancement, feature extraction, and object recognition, all of which are critical to the development of software applications that can effectively handle and manipulate images.

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Computer Graphics Artist

Computer Graphics Artists create digital images and animations for a variety of applications such as movies, video games, and advertising. This course, Image Representation and Processing, provides a foundation in the fundamentals of digital image representation and processing, which are essential skills for Computer Graphics Artists. The course covers topics such as image acquisition, image enhancement, feature extraction, and object recognition, all of which are critical to the creation of realistic and visually appealing digital images and animations.

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Image Processing Specialist

Image Processing Specialists process and analyze digital images for a variety of purposes such as medical imaging, remote sensing, and industrial inspection. This course, Image Representation and Processing, provides a foundation in the fundamentals of digital image representation and processing, which are essential skills for Image Processing Specialists. The course covers topics such as image acquisition, image enhancement, feature extraction, and object recognition, all of which are critical to the effective processing and analysis of digital images.

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Video Editor

Video Editors edit and produce video content for a variety of applications such as movies, television, and online videos. This course, Image Representation and Processing, provides a foundation in the fundamentals of digital image representation and processing, which are essential skills for Video Editors. The course covers topics such as image acquisition, image enhancement, feature extraction, and object recognition, all of which are critical to the effective editing and production of video content.

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Photographer

Photographers capture and edit digital images for a variety of purposes such as art, journalism, and advertising. This course, Image Representation and Processing, provides a foundation in the fundamentals of digital image representation and processing, which are essential skills for Photographers. The course covers topics such as image acquisition, image enhancement, feature extraction, and object recognition, all of which are critical to the effective capture and editing of digital images.

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Graphic designer

Graphic Designers create visual content for a variety of applications such as print, web, and social media. This course, Image Representation and Processing, provides a foundation in the fundamentals of digital image representation and processing, which are essential skills for Graphic Designers. The course covers topics such as image acquisition, image enhancement, feature extraction, and object recognition, all of which are critical to the effective creation of visual content.

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Web Developer

Web Developers design and develop websites and web applications. This course, Image Representation and Processing, may be useful for Web Developers who work on websites or web applications that process or display images. The course covers topics such as image acquisition, image enhancement, feature extraction, and object recognition, which can be useful for developing websites and web applications that can effectively handle and manipulate images.

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Database Administrator

Database Administrators maintain and manage databases. This course, Image Representation and Processing, may be useful for Database Administrators who work with databases that store or process images. The course covers topics such as image acquisition, image enhancement, feature extraction, and object recognition, which can be useful for managing and maintaining databases that store or process images.

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Systems Administrator

Systems Administrators maintain and manage computer systems. This course, Image Representation and Processing, may be useful for Systems Administrators who work with systems that process or display images. The course covers topics such as image acquisition, image enhancement, feature extraction, and object recognition, which can be useful for managing and maintaining systems that effectively handle and manipulate images.

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Network Administrator

Network Administrators maintain and manage computer networks. This course, Image Representation and Processing, may be useful for Network Administrators who work with networks that transmit or process images. The course covers topics such as image acquisition, image enhancement, feature extraction, and object recognition, which can be useful for managing and maintaining networks that effectively transmit and process images.

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Information Security Analyst

Information Security Analysts protect computer systems and networks from security threats. This course, Image Representation and Processing, may be useful for Information Security Analysts who work with systems or networks that process or store images. The course covers topics such as image acquisition, image enhancement, feature extraction, and object recognition, which can be useful for identifying and mitigating security threats that involve images.

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Business Analyst

Business Analysts analyze business needs and develop solutions. This course, Image Representation and Processing, may be useful for Business Analysts who work with businesses that use or process images. The course covers topics such as image acquisition, image enhancement, feature extraction, and object recognition, which can be useful for understanding and analyzing the business needs of organizations that use or process images.

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