Slices reconstructing algorithm for single image dedusting Online publication date: Fri, 06-Mar-2020
by Haiyan Zhang; Shangbing Gao; Mingxin Jiang
International Journal of Information and Communication Technology (IJICT), Vol. 16, No. 2, 2020
Abstract: For solving the image degradation in the non-uniform dusting environment with multiple scattering lights, the slices reconstructing algorithm for single image was proposed for dust elimination in the paper. Firstly, the slices along the depth orientation were produced based on McCartney model in dust environment. Secondly, the union algorithm of dust detection was used to detect dust patches in the slices where non-dust areas were reserved while the dust zones were marked as the candidate detecting areas of the next slice image. Then, the image was reconstructed by combining these non-dust areas of each slice and the dust zone of the last slice. Finally, the faster guided filter was applied to the reconstructed area. The experimental results had proved that the reconstruction algorithm could get rid of dust in object image not only effectively but also fast. The paper's work had laid the foundation for object detection and recognition work had based on computer vision in dust's environment.
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