Exploring Image Processing and Image Restoration Techniques

Abstract

Because of the development of computers and high-technology applications, all devices that we use have become more intelligent. In recent years, security and surveillance systems have become more complicated as well. Before new technologies included video surveillance systems, security cameras were used only for recording events as they occurred, and a human hadtoanalyzetherecordeddata. Nowadays,computersareusedforvideoanalytics,andvideo surveillance systems have become more autonomous and automated. The types of security cameras have also changed, and the market offers different kinds of cameras with integrated software. Eventhoughthereisavarietyofhardware,theircapabilitiesleavealottobedesired. Therefore,thisdrawbackistryingtocompensatebydintofcomputerprogramsolutions. Image processing is a very important part of video surveillance and security systems. Capturing an imageexactlyasitappearsintherealworldisdifficultifnotimpossible. Thereisalwaysnoise to deal with. This is caused by the graininess of the emulsion, low resolution of the camera sensors, motion blur caused by movements and drag, focus problems, depth-of-field issues, or the imperfect nature of the camera lens. This paper reviews image processing, pattern recognition, and image digitization techniques, which will be useful in security services, to analyze bio-images, for image restoration, and for object classification.