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Adherent Raindrop Modeling, Detection and Removal in Video

Adherent Raindrop Modeling, Detection and Removal in Video

Starting at: Rs.5,500.00

5500 reward points

Adherent Raindrop Modeling, Detection and Removal in Video

Raindrops adhered to a windscreen or window glass can significantly degrade the visibility of a scene. Modeling, detecting and removing raindrops will, therefore, benefit many computer vision applications, par ticularly outdoor sur veillance systems and intelligent vehicle systems. In this paper, a method tha t automatically detects and removes adherent raindrops is introduced. The coreidea is to exploit the local spa tio-temporal deriva tives of raindrops. To accomplish the idea, we first model adherent raindrops using lawof physics, and detect raindrops based on these models in combination with motion and intensity temporal deriva tives of the input video. Having detected the raindrops, we remove them and restore the images based on an analysis that some areas of raindrops completely occludes the scene, and some other areas occlude only par tially. For par tially occluding areas, we restore them by retrieving as much as possible infor mation of the scene, namely, by solving a blending function on the detected par tially occluding areas using the temporal intensity derivative. For completely occluding areas, we recover them by using a video completion technique. Experimental results using various real videos show the ef fectiveness of our method


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  • Model: PROJ7622
  • 999 Units in Stock
  • Manufactured by: ClickMyProjects

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This product was added to our catalog on Tuesday 08 August, 2017.