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Learn image processing with online courses and programs

Develop skills in computer vision, machine learning, and signal processing, and contribute to solving real-world challenges using visual information. Learn more about image processing with edX.

What is image processing?

Image processing is a field that focuses on the manipulation, analysis, and interpretation of digital images using computer algorithms. Through operations like filtering, segmentation, and object recognition, we can solve complex problems using visual information. Image analysis and image enhancement have many use cases in a variety of areas, including criminal justice, drug discovery and healthcare, and the military.

Computer vision has transformed the way experts pursue digital image processing. They have the capability to find useful information through image segmentation and contrast enhancement down to a pixel. Image acquisition capabilities have also expanded the possibilities. For example, where we once relied on x-rays in healthcare, we now have digital photographic capabilities for full exploration.

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Image processing course curriculum

The field of image processing combines creativity, technical expertise, and practical applications, making it an exciting and evolving area of study. Learners have the opportunity to apply a variety of skills and interests in their coursework. An example of topics that could be covered in an introductory course include:

  • Digital image formation principles

  • Bit-depths and lookup tables

  • Performing mathematical operations on images

  • Creating regions of interest and extract results from segmented images

Learning about how to use image processing can supplement your knowledge of computer vision and machine learning. edX offers a variety of educational opportunities for learners interested in studying these topics, as well as a host of other disciplines. A boot camp can provide flexible, hands-on learning for those who want to upskill quickly, while executive education courses are designed for busy professionals. You can also pursue a more comprehensive curriculum in a bachelor’s degree program or, for more advanced learners, a master’s degree program. Find the right learning path for you.

Explore image processing jobs

Enhanced images help us research and find answers in fields as disparate as criminal justice and agriculture. A basic understanding of the algorithms involved in these processes can help you make advances in your field even with raw data.

Additionally, there are career paths available for those interested in focusing on image processing and computer vision. Some examples of such jobs could include:

  • Image processing engineer: Develops algorithms and techniques to enhance, analyze, and manipulate digital images for various applications, such as medical imaging, satellite imagery, or video processing.

  • Computer vision engineer: Designs and implements computer vision systems and algorithms for tasks like object detection, recognition, and tracking in fields such as robotics, autonomous vehicles, or surveillance systems.

  • Medical imaging specialist: Works in the healthcare industry, applying image processing techniques to analyze medical images, assist in diagnosis, and contribute to advancements in medical imaging technology.

  • Multimedia programmer: Develops software applications that involve image and video processing, such as multimedia editing tools, augmented reality applications, or computer graphics software.

Each of these roles will have different education and skills requirements. For example, you may be able to build relevant skills in a coding boot camp. However, some employers may seek candidates with a degree in computer science, depending on the role. Before deciding on a specific learning path, research the positions you hope to pursue and align your coursework with your career goals.

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