Certain investigations on improved Quality enhancement methods for Outdoor surveillance applications
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Abstract
During acquisition digitization and transmission of images captured
newlinein outdoor surveillance environment such as rain fog and mist will cause
newlinesevere degradations of scene information Especially there is a wide interest in
newlinehandling the outdoor surveillance images in remote surveillance automatic
newlineincident detection traffic monitoring and law enforcement services In each
newlinecase there is an underlying object or scene which is wished to be captured
newlineprocessed analyzed and interpreted Hence this implies that these
newlineapplications have more significance in visual quality improvement of outdoor
newlinesurveillance images for efficient interpretation of scene details But there are a
newlinelot of climatic factors which affects the quality of the outdoor surveillance
newlineimages During image acquisition the visual quality of the scene details is
newlinedegraded by bad weather conditions such as rain fog mist and uneven
newlineillumination Some variations in the pixel level may occur during live
newlinerecording and transmission of surveillance images which will be visible as
newlinegrains and missing blocks Thus the need of the hour is to improve the visual
newlinequality of the outdoor surveillance images for efficient analysis and
newlinerecognition
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