Demonstrates a workflow for designing pixel-stream video processing algorithms using Vision HDL Toolbox™ in the MATLAB® environment and generating HDL code from the design.
Demonstrates how to develop a complex pixel-stream video processing algorithm, accelerate its simulation using MATLAB Coder™, and generate HDL code from the design. The algorithm
This model generates cartoon lines and overlays them onto an image. You can generate HDL code from this algorithm.
There are numerous applications where the input video is divided into several zones, and the statistic is then computed over each zone. For example, many auto-exposure algorithms compute
Implement a front-end module of an image processing design. This front-end module removes noise and sharpens the image to provide a better initial condition for the subsequent processing.
Use the Vision HDL Toolbox Histogram library block to implement histogram equalization.
When designing video processing algorithms, an important concern is the quality of the incoming video stream. Real-life video systems, like surveillance cameras or camcorders, produce
Demonstrates how to detect and highlight object edges in a video stream. The functionality of the pixel-stream Sobel Edge Detector and Video Alignment blocks is verified by comparing the
Lane detection is a critical processing stage in Advanced Driving Assistance Systems (ADAS). Automatically detecting lane boundaries from a video stream is computationally challenging
Converts Camera Link® signals to the pixelcontrol structure, inverts the pixels with a Vision HDL Toolbox object, and converts the control signals back to the Camera Link format.