Remote Sensing Image Dehazing Using Guided Filter
Malege Sandeep · 2014
Abstract: Remote sensing image dehazing is challenging because it is massively ill-posed and the haze is dependent on the unknown depth information. Haze removal based on dark channel prior is effective, and refining the transmission map with Gaussian filter will produce a god result. But need to improve the naturalness and sharpness and effectiveness of images and to remove fine haze. So Proposes new approach to dehaze the remote sensing image using guided filter. Guided filter is a type of edge-preserving smoothing operator, which filters the input image under the guidance of another image. Experiments and comparisons show that this method generates satisfactory dehazed results with improved naturalness and sharpness.