An Exploration on Competent Video Processing Architectures

Abstract

Video processing is a specific type of signal processing that frequently uses video filters and video files or video streams as both the input and output signals. In real-time applications like Bio-medical applications, and assist device applications, they use image enhancement methods and edge detection methods to extract data from the image or videos. According to the research, an effort has been done in constructing effective mathematical models with functional validity using MATLAB. But the data extracted/available is no potential in making a comment on design constraints like logic delay, Logic power Consumption, and area required to develop, while taking the model to the physical implementation, into a Signal /Video processing architecture in the form of IC. Hence it is essential to initiate development methods, to fill the gaps in the complete design, from the problem statement to the physically available one that can be used in the straight application. Initially, the IIR filter architectures are developed by using Xilinx System Generator (XSG) and quality metrics are calculated for a frame extracted from video w r t. reference frame. An HDL description of the same design would then follow. Then, it is implemented on an FPGA to calculate the design constraints and assess the most effective video processing architecture.