Vision processing is the computational transformation of raw image and video data into structured representations and decisions, spanning low-level operations such as filtering and feature extraction through high-level recognition and interpretation. It is the algorithmic core of computer-vision systems and specialised applications such as medical imaging. Efficient vision processing increasingly runs on dedicated accelerators to meet real-time demands.
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- Pipelines chain preprocessing, feature extraction, detection, segmentation and recognition, with modern systems dominated by convolutional and transformer models. Performance and latency requirements drive deployment on GPUs, vision-processing units and edge accelerators.