Efficient and Improved Method of Single Image Dehazing
Based on Multi-Scale Fusion
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The immunities in the ambience such as fog and haze can significantly put down the visibility of the captured images. Primarily, this is owing to the substantial bearing of immunities in the atmosphere which take up and scatter the light traveling to the observer from the scene point. This report presents a new single image strategy for the betterment of the visibleness of degraded images through dehazing the affected images. The method is based on a fusion-based approach. Through the use of a white-balance along with a contrast enhancing procedure it derives two images from original hazy inpu...
The immunities in the ambience such as fog and haze can significantly put down the visibility of the captured images. Primarily, this is owing to the substantial bearing of immunities in the atmosphere which take up and scatter the light traveling to the observer from the scene point. This report presents a new single image strategy for the betterment of the visibleness of degraded images through dehazing the affected images. The method is based on a fusion-based approach. Through the use of a white-balance along with a contrast enhancing procedure it derives two images from original hazy input image that is blurred. To blend expeditiously the knowledge of the inputs that are produced, their significant features are filtered by calculating three weight maps: luminance, chromaticity, and saliency, to maintain the areas with great visibility. The strategy is designed in a multiscale manner. In order to denigrate the artifacts acquainted by the weight maps, it utilizes a pyramidal representation. The strategic scheme performs a per-pixel manipulation.
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