Video Enhancement Image Processing

The process of video enhancement includes viewing images and implementing an assortment of procedures to improve image quality and clarity. Video enhancement can be carried out on a variety of video formats, but the procedures must be carefully undertaken by a professional in order to render the best possible outcome while preserving the integrity of the source material. The enhancement process should always preserve the source recording with the enhanced version created as a separate version. This assures preservation and comparison.

While some of the primary uses for video enhancement include clarifying footage that recorded by surveillance or body-worn cameras, it can also be used for clarifying images captured in a variety of formats. These include analog (magnetic-based recording media) and digital images captured on hard drives, flash drives, cellphones, and DVDs or CDs. Professional enhancement involves a review of the media and then employing numerous techniques to produce the best image possible from the source material. This is done with the utmost care to preserve the integrity of the image for evidentiary purposes. Video enhancement is often performed for video clarification in courtroom proceedings. With video enhancement, details may be revealed which had been previously misconstrued or missed in the original recordings.

With audio and video becoming omnipresent, it is a foregone conclusion that recordings will be used in more and more settings as evidence. When a viable recording of an incident exists, it can become the definitive authority on whether something truly happened. It may also be employed in recreating incidents by providing information on where objects or individuals occupied space at a given point in time, and the actual sounds recorded.

Image processing, as with video enhancement, is intended to produce the best possible image that can be taken from the source material. It involves processing the signal from an image to produce a picture of greater clarity. This may be rendered as an actual image or as a set of parameters from the source image.

Nearly any type of image can be “processed”, but the term is typically applied to digital imagery. Regardless of format, there are general processing techniques, which can be used to improve an image. Producing an original image through an input is known as imaging, while procedures applied for enhancement are referred to as image processing.

Image processing can be either digital or analog. Digital image processing involves applying algorithms to complete the processing of the image. Digital image processing is a sub-category of a larger field, called digital signal processing (DSP), and is more useful than analog processing for many reasons. These include allowing a wider array of algorithms to be employed for processing the data from the input. Digital image processing can also help provide a remedy for common image processing problems, including signal distortion and noise accumulation. Because the input images can be defined using more than two dimensions, digital image processing may also be employed to render a multidimensional model from a two-dimensional image.