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Prior Imaging Model for Efficient Dehazing

K. Gomathy, D. Arun Shunmugam

Abstract


Atmospheric conditions induced by suspended particles, such as fog and haze, severely degrade image quality. The image clarity is compromised in hazy weather conditions and smog, fog and aerial particles block the true nature of image. Removing haze technique is an important and necessary procedure to avoid ill-condition visibility of human eyes. Images of outdoor scenes often contain degradation due to haze, resulting in contrast reduction and color fading. For many reasons one may need to remove these effects. Unfortunately, haze removal is a difficult problem due the inherent ambiguity between the haze and the underlying scene. Furthermore, all images contain some noise due to sensor error that can be amplified in the haze removal process if ignored.

Keywords


Salt and Pepper Noise, Noise Removal, Dehazing, Dark Channel Prior,

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