Image processing
The goal of image processing is to robustly extract useful, high-level information from images and video to help improve the performance of general-purpose processor implementation.
Abstract
The goal of image processing is to robustly extract useful, high-level information from images and video. The type of high-level information that is useful depends on the application. Examples of applications include object detection and tracking for surveillance, defect detection for automated production systems, and scene classification for remote sensing and map annotation. Extracting high-level information is a difficult research problem and many different algorithms have been suggested. Image and video processing have been significant application drivers for the reconfigurable computing community since its inception in the early 1990’s. Prior to modern reconfigurable devices, image and video processing were also significant application drivers for computer architecture research and VLSI design. There are two related reasons why this application domain has received so much attention in the computer architecture community. The first is the poor, often unacceptable, performance observed in general-purpose processor implementation. This can be attributed to: