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- W3044335872 abstract "Contrast of images which are captured in poor weather (i.e., hazy, foggy, rainy and cloudy) degrades due to optical and physical properties of light and atmospheric particles. This degradation lessens the performance of computer vision assisted systems. The weight of degradation at a pixel depends upon depth of the pixel from camera. Therefore, accurate depth estimation of a pixel is essential to improve quality of image. This paper presents color attenuation prior-based depth approximation model to approximate depth of a pixel from the camera using a single degraded image. The proposed method observed that the depth of a pixel from the camera is directly proportional to the difference of the saturation from the sum of brightness and hue. Visual quality and quantitative metrics are used to compare results of the proposed method with prominent existing methods in literature." @default.
- W3044335872 created "2020-07-29" @default.
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- W3044335872 date "2020-07-26" @default.
- W3044335872 modified "2023-10-16" @default.
- W3044335872 title "An Enhanced Depth Approximation Model for Haze Removal Using Single Image" @default.
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- W3044335872 doi "https://doi.org/10.1007/978-981-15-4692-1_52" @default.
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