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A New Approach for Removing Haze from Images
| Content Provider | Semantic Scholar |
|---|---|
| Author | Senthamilarasu, Vinuchackravarthy Baskaran, Anusha Kutty, Krishnan |
| Abstract | The presence of suspended particles like haze, fog, mist, smoke and dust in the atmosphere deteriorates quality of captured image. It is of paramount importance to reduce these deteriorating effects from the image for various image based applications; viz. ADAS, CCTV surveillance, etc. In this paper, this interesting problem of enhancing the perceptual visibility of an image that is degraded by atmospheric haze is addressed. An efficient way of estimating the transmission map and the atmospheric light is proposed, which is further used in reducing effects of haze from the image. The underlying idea is to restore the true color of each pixel by using our proposed method that minimizes the lowest of RGB values per pixel. This is accomplished using the HSV color space and the haze image model. In comparison with the other state of the art methods that are available in literature, the proposed method is shown to be capable of recovering better haze-free images both in terms of visual perception and quantitative evaluation. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://worldcomp-proceedings.com/proc/p2014/IPC3225.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
