The Surveillance Video&Digital Image Analysis System

When an exception occurs, emergency surveillance video in banks, hotels,transportation, squares, residential and city streets and other public places couldprovide important clues which help identify the relevant human and material.Therefore, the digital video&image data provides an important way for the publicsecurity surveillance, forensic, intelligence analysis and other national securityapplications.This paper will address the existing field of public safety video surveillance imageswith low signal-to-noise ratio, the image has periodic interference, low sharpness andlow-resolution problem, research blurred image restoration and small image to enlargealgorithm and applications. This paper will be divided into three parts of the study:surveillance video image denoising research, surveillance video image enhancementalgorithm and a small image to enlarge algorithm and system design andimplementation. In the surveillance video image denoising study, this in-depthunderstanding and analysis of video surveillance in the main noise types, and select theappropriate type of noise de-noising algorithm and denoising module; in the imageenhancement algorithm, the paper developed for color and grayscale images of imageenhancement algorithms, such as gamma correction, spatial sharpening, brightness,contrast adjustment, histogram adjustment, histogram equalization and color-basedRetinex image enhancement, etc.; Finally, the paper design and implementation of aclassic small algorithms such as image method: nearest neighbor, bilinear and bicubicinterpolation.The surveillance video&digital image analysis system is used by Guizhou ProvinceTransmission and Substation Engineering Co.’s storehouse,and be played a part in theimage&video shooted by the camera.