Certain investigations on improved Quality enhancement methods for Outdoor surveillance applications

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 newline newline

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