Digital Enhancement Of Surveillance Video
Forensic image processing (FIP) involves the computer restoration and enhancement of surveillance imagery. The goal of FIP is to maximize information extraction from surveillance imagery, especially imagery that is noisy, incomplete, or over/under exposed.
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Digital Enhancement Of Surveillance Video Video
PerpPics is a video forensic service specializing in surveillance video enhancement and clarification of images. Initially designed to provide surveillance video enhancement services to law enforcement PerpPics now provides these same services to attorneys, security companies and corporations worldwide. Could be a cheap 'enhancement' of the dynamic range. Digital WDR, or D-WDR, is a software based technology (software based technique) that optimizes image quality by adjusting the gamma value of an image to enhance dark areas. Whether that surveillance is audio or video. Share this post. Link to post Share on other sites.
Although this definition is with respect to surveillance imagery, FIP techniques can be applied to other types of images, such as retinal images, shoe impression images, UAV (unmanned aerial vehicle) infrared images, and more. Often, for a variety of reasons, the quality of surveillance imagery is very low. The low imagery quality can be caused by poor lighting, poor media quality (analog systems), excessive motion of the subject, a camera in need of calibration, and noise introduced by the imaging/recording system. With digital filtering, image restoration, de-noising, and enhancement techniques, information can often be extracted from low quality imagery.
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Forensic imaging processing is a method of improving a digital image (surveillance, closed circuit TV, infrared, etc.) using a variety of computer techniques. These techniques often involve digital “filters” that can suppress noise in the digital image, aid in the extraction of detail from shadow, and provide image sharpening.
Digital Video Enhancement Software Tools
Dec 15, 2014 - The Untold Secrets of Forensic Video Enhancement: Myth versus. Of the digital data and typical defects of video surveillance, we cannot in. South Africa IP Video Surveillance and VSaaS Market Overview. 3.6.3.1 Growing surveillance industry and shift to networked surveillance 3.6.3.2 Enhancement in Cellular Network Stability 3.6.3.3 Growing retail Industry. Chapter: 4 SOUTH AFRICAN IP SURVEILLANCE AND VSAAS MARKET, BY COMPONENT.
As will be discussed in a later article, the distribution of image pixels (histogram) can also be optimized for information extraction. Definition and Enhancement of a Digital Image An image can be considered as a two-dimensional function, f( x, y), where x and y are plane coordinates such as latitude/longitude in the case of a UAV image, and the value of f at any location ( x, y) is the intensity or gray level of the image at that point. The intensity or gray level is directly related to the brightness of the subject that was imaged. Forensic image processing techniques can then be considered to be a transformation that is applied to an input image to produce an output image, such as: g( x, y) = T [ f( x, y)] f( x, y) refers to the input image and can specify the gray level for any pixel x, y, g( x, y) is the output image produced by the forensic image processing technique, and T is an image enhancement technique (such as a digital filter). Although digital images can be enhanced by forensic image processing techniques, image editing techniques, such as variations in exposure conditions, cropping, dodging/burning, are not considered to be forensic image processing. In general, FIP (or just image processing) techniques involve changing pixel values in one way or another, while image editing techniques typically do not change pixel values.
Forensic Image Processing as a Profession FIP is important to a variety of professions, such as criminologist, law enforcement, Homeland Security, private security, military, U.S. 
Postal Service, the Secret Service, etc. In general, these professionals use FIP for analysis of crime scene surveillance data. The crimes can be anything from bank robbery to arson to breaking/entering to a terrorist attack. Businesses and corporations can also use surveillance systems and the subsequent imagery to ensure that employee behavior is consistent with company policy. As we have come to know, surveillance video systems are numerous and widespread, collecting vast amounts of data. Figure 1 shows an example of the many places that surveillance data could be collected.