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Image Processing

Image Processing Description Topics

Video and Image Processing System Design

Simulink enables faster, more cost-effective development of video and image processing systems. Simulink replaces error-prone, manual methods of coding target-specific hardware and software from paper specification documents by using executable models. Dynamic simulation eliminates the need for physical prototypes. Automatic code generation speeds deployment. And integrated testing helps you correct errors early and improve quality.

The Video and Image Processing Blockset extends Simulink with a rich, customizable framework for the rapid design, simulation, implementation, and verification of video and image processing algorithms and systems. It includes basic primitives and advanced algorithms for designing embedded imaging systems in a wide range of applications in aerospace and defense, automotive, communications, consumer electronics, education, and medical electronics.

Simulink and the Video and Image Processing Blockset enable you to run fast simulations for real-time embedded video, vision, and imaging systems. You can create executable specifications for communicating the system to downstream design teams and to provide a golden reference for verification throughout the design process.

Learn more about Model-Based Design

Model illustrating a motion stabilization technique based on the SAD method. The model applies the SAD technique to remove unwanted translational camera motions and generate a stabilized video.
Steve Eddins

Blog: Steve on Image Processing

Read the latest entries on this popular Image Processing blog. Steve Eddins manages the Image and Geospatial development team. He writes about image processing concepts, algorithm implementations, and MATLAB.

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TYBRIN

"With our legacy programs, it took us eight to 12 months to complete a project. With MathWorks tools, we completed a similar project in just four weeks."
- Cary Owens

Free Technical Kit

Image Processing Information Kit