Haze Removal Based on Refined Transmission Map for Aerial Image Matching

A novel strategy is proposed to address block artifacts in a conventional dark channel prior (DCP). The DCP was used estimate the transmission map based on patch-based processing, which also results image blurring. To enhance degraded image, single-image dehazing technique restores blurred with refined hidden Markov random field. Therefore, algorithm estimates that can reduce and improve clarity without explicit guided filters. Experiments were performed remote-sensing images. confirm superior approaches haze removal. Moreover, suitable for matching local feature extraction.